Août 2026

dataelement bisheng

BISHENG before 2.6.0 contains a remote code execution vulnerability in the workflow run_once endpoint that allows authenticated users to execute arbitrary Python code. Attackers can submit crafted Code node definitions to the POST /api/v1/workflow/run_once endpoint, which executes them with exec() without sandboxing, gaining access to filesystem, credentials, and internal network resources.

scrapy protego

Protego is a pure-Python robots.txt parser with support for modern conventions. Prior to 0.6.2, protego._urlpattern._URLPattern._prepare_pattern_for_regex translates every asterisk in an Allow or Disallow directive into a lazy regular-expression wildcard, so a directive containing many asterisks creates exponential backtracking. After protego.Protego.parse processes a crafted robots.txt file, protego.Protego.can_fetch can spend an attacker-controlled period matching a near-miss URL and deny service to the crawler. The vulnerable path is src/protego/_urlpattern.py in the _URLPattern match logic. This issue is fixed in version 0.6.2.

piccolo-orm piccolo_admin

Piccolo Admin is an admin interface and content management system for Python, built on top of Piccolo. Prior to 1.14.0, piccolo_admin/endpoints.py uses superuser_validators to block PUT, PATCH, DELETE, and POST requests by non-superusers but permits GET requests to configured user and session tables, while piccolo_api/session_auth/tables.py exposes SessionsBase.token because the token column is not secret. In deployments that add the Sessions and User tables to create_admin, a non-superuser administrator can call GET /api/tables/sessions/, obtain another user's live session token, replay it as the Cookie id value to impersonate a superuser, and permanently set superuser to true on the attacker's own row. This issue is fixed in version 1.14.0.

speechbrain

SpeechBrain before 1.1.1 contains an arbitrary code execution vulnerability that allows attackers to execute arbitrary code by supplying a crafted CKPT.yaml checkpoint metadata file parsed with PyYAML's unsafe loader during candidate enumeration in Checkpointer.recover_if_possible(). Attackers can embed malicious Python object construction tags such as !!python/object/apply in any CKPT.yaml file within the configured checkpoint path to trigger code execution during candidate discovery, even if the malicious checkpoint is never selected for recovery.

jahlives openssl_encrypt · Jahlives openssl encrypt

openssl-encrypt (pip package) before 1.4.9 contains a symlink-following flaw in its verify-usb v2 added-file allowlist scan. The scan enumerated the drive with rglob(), which in CPython does not descend into symlinked directories and treats the symlink as an ordinary directory, while O_NOFOLLOW on the hash side binds only the final path component. An evil-maid attacker with physical access to the removable drive could replace a tool-tree directory with a symlink to a copy containing byte-identical files plus a planted __pycache__/*.pyc file (which CPython loads in preference to recompiling the clean .py). The planted file is never enumerated, added_files stays 0, and verify-usb reports PASSED, resulting in code execution when the victim runs the portable install. Fixed in 1.4.9 (affects both 1.4.x and 1.5.x lines).

flowintel

Affected versions of Flowintel improperly trust configuration keys supplied to the alerts settings update endpoint. While configuration values were normalized to Python literals, the corresponding keys were used directly when constructing and replacing lines in conf/config_module.py. The vulnerable code used requester-controlled keys in both the regular expression and the generated assignment: f'{key} = {py_val}' and appended an assignment if the key was not already present. The modified Python configuration module was subsequently reloaded using importlib.reload(). This creates a code-generation boundary in which specially crafted configuration keys can alter the Python source structure and result in execution of attacker-controlled Python statements. Version impacted >=3.3.0

frappe

Frappe is a full-stack web application framework written in Python and JavaScript. Prior to version 15.115.0, an access control bypass in the REST API allows a user to read data from Linked DocTypes that they are not authorized to access. When a document references another document through a Link field, the framework does not consistently enforce the linked DocType's own permissions when the record is retrieved through the REST API, so a low-privileged authenticated user can obtain fields from linked records outside their permitted scope. This issue is fixed in version 15.115.0.

Andyyyy64 whichllm

whichllm before 0.5.16 contains a code injection vulnerability in the run and snippet commands that allows a remote attacker who controls a HuggingFace repository to achieve arbitrary code execution by crafting a malicious GGUF filename containing double quotes or other special characters. The script generation function in cli.py interpolates HuggingFace-derived values, including GGUF variant filenames from the Hub API siblings rfilename field, directly into Python source code without escaping, allowing the crafted filename to break out of the generated string literal and execute injected code on the user's machine before any model download occurs.

nltk · Nltk nltk

NLTK versions before 3.10.0 contain a regular expression denial of service vulnerability in Text.findall() and TokenSearcher.findall() methods that accept user-supplied regular expressions without validation or timeout. Attackers can supply crafted regex patterns that cause catastrophic backtracking, resulting in indefinite CPU saturation and denial of service to all users of the Python process.

oscal-compass compliance-trestle

Compliance-trestle (Trestle) is a Python SDK and command-line tool for managing OSCAL compliance documents. In versions before 3.12.4 and versions 4.0.0 through 4.0.3, the catalog-generate, profile-generate, and ssp-generate author commands write generated Markdown to an attacker-influenced output path without path-traversal validation, allowing arbitrary file write outside the Trestle workspace. These commands join the user-supplied output argument onto the Trestle root and write to the result, but guard it only with an is_directory_name_allowed() task-name-collision check rather than the PathSecurityValidator.validate_local_path() guard used by the jinja command, so an absolute path or one containing traversal sequences escapes the workspace and writes files under an attacker-chosen location as the invoking process owner. The security boundary is crossed when a trusted CI job, shared service, or wrapper derives the output argument from repository-controlled, tenant-controlled, or otherwise untrusted data while expecting output to stay inside the workspace. When --force-overwrite is used, the selected output directory is first recursively deleted, extending the primitive to destruction of an attacker-chosen directory tree and enabling indirect code execution by overwriting files a pipeline later runs. This issue is fixed in versions 3.12.4 and 4.1.0.

oscal-compass compliance-trestle

Compliance-trestle (Trestle) is a Python SDK and command-line tool for managing OSCAL compliance documents. In versions prior to 3.12.4 and 4.0.0 through 4.0.3, the custom Jinja2 include tags mdsection_include and md_clean_include re-parse the content of an included Markdown file as Jinja2 template code in a non-sandboxed environment, allowing server-side template injection that can lead to arbitrary code execution. The MDSectionInclude and MDCleanInclude tags in Trestle/core/jinja/tags.py pass included file content to Parser(self.environment, ...).parse(), splicing it into the host template's compilation, and the environment is a plain jinja2.Environment rather than a SandboxedEnvironment, so any expressions in the file are evaluated with full access to the usual SSTI gadget chain. Because Trestle's Markdown writers emit OSCAL prose and component-description fields verbatim, applying delimiter neutralization only to parameter tables, attacker-controlled OSCAL data such as a control statement, part prose, or component description containing Jinja2 syntax flows into an included Markdown file and is executed when the include tag re-parses it. This issue is fixed in version 4.1.0.

oscal-compass compliance-trestle

Compliance-trestle (Trestle) is a Python SDK and command-line tool for managing OSCAL compliance documents. In versions before 3.12.4 and versions 4.0.0 through 4.0.3, Trestle is vulnerable to server-side template injection that can lead to remote code execution. This occurs because the MDCleanInclude and MDSectionInclude Jinja2 tags re-parse untrusted Markdown content as template source code using a non-sandboxed jinja2.Environment. An attacker who controls content that Trestle renders, such as a crafted workspace Markdown file, a third-party SSP document, or a YAML lookup-table value, can inject a Jinja2 expression that traverses Python object internals to execute arbitrary operating system commands in the context of the Trestle process. This issue is fixed in versions 3.12.4 and 4.1.0.

mesop-dev mesop

Mesop is a Python-based UI framework that allows users to build web applications. Prior to 1.3.3, applications running in debug mode expose a GET /hot-reload endpoint whose unbounded loop depends on the user-supplied counter parameter, allowing an unauthenticated attacker to hold worker threads with high counter values until the worker pool is exhausted and the server becomes unavailable. A single unauthenticated attacker can crash the Mesop server with minimal effort. Because the attack leverages worker exhaustion, the server remains unresponsive until it is manually restarted. This issue is fixed in version 1.3.3.

collective icalendar

icalendar is an RFC 5545 compatible parser and generator of iCalendar files for Python. From 7.1.0 until 7.1.3, the Component equality method in src/icalendar/cal/component.py compares nested subcomponents with two membership loops, and each membership test invokes the same method on child components, causing O(2^n) work relative to nesting depth. Component.from_ical accepts arbitrarily nested BEGIN:VEVENT blocks without a depth limit, so an attacker can submit a sub-kilobyte .ics file containing equal nested subtrees and trigger the cost when an application performs equality, inequality, membership, deduplication, test-assertion, round-trip, or normalization comparisons. Parsing alone does not trigger the issue, and comparisons that differ early short-circuit, but a few hundred bytes can pin a CPU core for minutes or indefinitely, causing denial of service in calendar sync or import endpoints, invite processing, and other comparison paths. This issue is fixed in version 7.1.3.

chainlit

Chainlit is a Python framework for building production-ready conversational AI applications. From 2.4.0rc0 until 2.12.0, Chainlit deployments with features.mcp.enabled set to true in .chainlit/config.toml expose the POST /mcp endpoint without requiring authentication. For sse and streamable-http transports, ConnectSseMCPRequest and ConnectStreamableHttpMCPRequest in backend/chainlit/types.py accept a user-controlled url and optional headers dictionary without scheme validation, private-address filtering, or an allowlist. The connect_mcp handler in backend/chainlit/server.py passes these values to sse_client() or streamablehttp_client(), allowing the Chainlit server to make blind outbound requests to arbitrary internal or external services, including cloud metadata endpoints, with attacker-controlled Authorization and Cookie headers. The SSE URL sink has existed since 2.4.0rc0, while attacker-controlled header forwarding and streamable-http support were added in 2.6.4. The response is consumed internally and not returned, but the attacker can issue state-changing authenticated requests, discover internal services, scan ports, and probe metadata endpoints. This issue is fixed in version 2.12.0.

Amazon strands-agents-tools

Improper neutralization of input used for LLM prompting in the python_repl tool in Amazon Strands Agents Tools before 0.8.5 might allow remote actors to execute arbitrary Python code on the agent's host by bypassing the human consent gate, via a crafted prompt that forwards non_interactive_mode as a keyword argument through the batch tool. To remediate this issue, users should upgrade to version 0.8.5 or later.

GOVCERT-LU eml_parser

eml_parser serves as a python module for parsing eml files and returning various information found in the e-mail as well as computed information. Prior to 3.0.2, eml_parser.routing.noparenthesis in eml_parser/routing.py removes parenthesized CFWS comments from Received: headers with a regex-based fix-point loop whose running time is quadratic in the nesting depth. A single Received: header with 5,000 nested parentheses causes approximately 1.3 seconds of CPU saturation per parsed message, and doubling the nesting depth approximately quadruples the running time. An attacker can submit relatively small EML files that consume multiple seconds of processing time, causing worker latency, queue backpressure, and possible service-level outages in synchronous gateways, sandboxes, and real-time triage pipelines. This issue is fixed in version 3.0.2.

QWED-AI qwed-verification

QWED is open-source AI verification infrastructure for deterministic verification of LLM outputs, tool calls, code, schemas, and agent state before production execution. Prior to 5.1.2, the qwed package passes caller-controlled math expressions directly to SymPy parse_expr() without restricted global_dict and local_dict namespaces, allowing Python eval() to resolve builtins and execute arbitrary Python code in the API server process. In src/qwed_new/api/main.py, POST /verify/math is protected by get_current_tenant but accepts any valid tenant API key, reads the expression field, applies only a cosmetic re.sub(r'(\d)(()', r'\1*\2', expression) normalization, and passes the result to parse_expr(). In src/qwed_new/core/batch.py, POST /verify/batch sends math items through batch_service.create_job(), stores item.query verbatim, and _verify_item() passes VerificationType.MATH input to parse_expr() without sanitization. The default-enabled POST /auth/signup endpoint allows anyone to create a standard tenant account, POST /auth/api-keys issues an x-api-key, and either vulnerable path can then be used to read or write files, modify data, execute operating system commands, terminate the service, and compromise other tenants in a shared deployment. This issue is fixed in version 5.1.2.

gitpython-developers GitPython · Gitpython project gitpython

GitPython before 3.1.59 omits --separate-git-dir from unsafe_git_clone_options, allowing attackers to create arbitrary git directories outside the intended clone destination. Attackers can pass a separate_git_dir parameter to Repo.clone_from() or Repo.clone() to redirect repository metadata to an attacker-controlled filesystem path, enabling arbitrary directory creation and potential hook execution.

gitpython-developers GitPython · Gitpython project gitpython

GitPython before 3.1.59 fails to disable merge_includes when parsing .gitmodules, allowing attackers to disclose local file content by including arbitrary file paths via [include] directives. Attackers can craft a malicious .gitmodules file with include directives pointing to sensitive files; when repo.submodules is accessed, GitConfigParser raises MissingSectionHeaderError embedding the target file's first line verbatim in the exception message.

lepture mistune

Mistune is a Python Markdown parser with renderers and plugins. Versions 3.3.0 through 3.3.2 are vulnerable to DoS through deeply nested tokens. HTML rendering creates deeply nested emphasis tokens from consecutive asterisk characters, and recursive rendering in HTMLRenderer.render_token() can exceed Python's recursion limit and raise RecursionError, allowing crafted Markdown to crash a parsing process. This issue is fixed in version 3.3.3

flairNLP flair

The official Flair wheels for 0.15.0 and 0.15.1 still contain flair/models/clustering.py, whose ClusteringModel.load static method returns pickle.loads(joblib.load(str(model_file))) and so executes arbitrary Python while loading a model file. Loading a model supplied by an attacker therefore runs that attacker's code with the privileges of the loading process. This is the same sink and the same file as CVE-2024-10073, which records 0.15.0 as the fixed version on the basis that clustering support was dropped in that release; the module was removed from the documented API but remains present in the distributed artifact and reachable by importing flair.models.clustering directly, so the earlier record's fixed version does not hold for the shipped package.

xorbitsai inference

Xinference loads models with Hugging Face remote code execution unconditionally enabled, and before version 2.12.0 exposes no setting to disable it. Six loader call sites pass trust_remote_code=True as a literal or as an unconditional default: RerankModel._get_tokenizer in xinference/model/rerank/core.py, SentenceTransformerRerankModel.load in xinference/model/rerank/sentence_transformers/core.py, SentenceTransformerEmbeddingModel.load in xinference/model/embedding/sentence_transformers/core.py, FlagEmbeddingModel.load in xinference/model/embedding/flag/core.py, and two sites in xinference/model/llm/transformers/core.py where PytorchModel._sanitize_model_config and PytorchModel._get_components default the value to True. Because a caller with model launch access can register a model whose type is unknown and supply an arbitrary model path, the server reaches _auto_detect_type and then AutoTokenizer.from_pretrained, which imports and executes Python declared by the model directory's own tokenizer_config.json auto_map, running attacker-supplied code with the privileges of the worker process. Version 2.12.0 gates every site behind allow_trust_remote_code and the XINFERENCE_TRUST_REMOTE_CODE setting, permitting remote code only for bundled built-in models.

EmilStenstrom justhtml

justhtml through 1.9.1 (fixed in 1.10.0) is vulnerable to uncontrolled recursion leading to denial of service. During JustHTML() construction, TreeBuilder.finish() unconditionally calls _populate_selectedcontent(), which recursively traverses the DOM tree via _find_elements()/_find_element() without a depth bound. An attacker who can supply HTML for parsing can provide deeply nested elements (e.g., ~1000 nested <div> tags, roughly 11 KB) to exceed CPython's default recursion limit and trigger an unhandled RecursionError, which may abort parsing, fail requests, or terminate a worker/process depending on the host application's exception handling.

nltk · Nltk nltk

NLTK versions before 3.9.4 contain an unbounded recursion vulnerability in JSONTaggedDecoder.decode_obj() that allows attackers to cause denial of service by supplying deeply nested JSON structures. Attackers can craft JSON payloads exceeding the recursion limit to trigger an unhandled RecursionError that crashes the Python process.

facebookresearch hydra

Hydra is a framework for elegantly configuring complex applications. Prior to 1.3.4, hydra.utils.instantiate() resolves and calls Python objects selected by configuration through _resolve_target() in hydra/_internal/instantiate/_instantiate2.py, allowing attacker-controlled target values and arguments to choose dangerous callables. A consuming application, library, CLI workflow, or model loader that passes untrusted configuration, CLI overrides, or model metadata into hydra.utils.instantiate() can therefore execute arbitrary code in its own process, including reading or modifying files and credentials or terminating the process. Version 1.3.4 adds target blocking with an explicit HYDRA_INSTANTIATE_ALLOWLIST_OVERRIDE escape hatch. This issue is fixed in version 1.3.4.

funstory-ai BabelDOC

BabelDOC is a document translation tool. Prior to 0.6.3, BabelDOC's vendored PDF parser in babeldoc/pdfminer/cmapdb.py deserializes untrusted pickle data when CMapDB._load_data() loads CMap files. PDF-controlled Encoding or CMapName values and embedded PostScript usecmap operators can reach this sink after path separators are decoded, while _normalize_cmap_name() removes only a leading slash. Absolute paths or traversal sequences can escape the trusted CMap directories through os.path.join(), select an attacker-writable .pickle.gz file, and cause pickle.loads() to execute arbitrary Python code with the privileges of the BabelDOC process. This issue is fixed in version 0.6.3.

omnigent-ai omnigent

Omnigent is an open-source AI agent framework and meta-harness for orchestrating coding agents. Prior to 0.3.0, multipart POST /v1/sessions accepts an authenticated user's agent bundle and omnigent/server/bundles.py validate_agent_bundle does not reject a tools..callable dotted Python path. omnigent/runner/tool_dispatch.py _resolve_spec_callable imports the specified module and _execute_spec_callable_tool invokes the resolved function, allowing a bundle to select subprocess.check_output and execute a local command with the runner process permissions. This can expose runner files, environment variables, credentials, workspace data, internal services, and availability without administrator access. This issue is fixed in version 0.3.0.

aeon

Aeon load_time_series_segmentation_benchmark Code Injection Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of aeon. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the load_time_series_segmentation_benchmark method. The issue results from the lack of proper validation of a user-supplied string before using it to execute Python code. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-29159.

aeon

Aeon load_human_activity_segmentation_datasets Code Injection Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of aeon. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the load_human_activity_segmentation_datasets method. The issue results from the lack of proper validation of a user-supplied string before using it to execute Python code. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-29160.

lxml · fedora-python lxml_html_clean

lxml is a library for processing XML and HTML in the Python language. Prior to 6.1.1, link attributes in ``lxml.html.defs.link_attrs`` were missing ``xlink:href``, which can be used for URL bypass attacks in embedded SVG/MathML/etc. content. This vulnerability was fixed in lxml 6.1.1 and lxml_html_clean 0.4.5.

Agno AGI Agno

Agno's PythonTools in libs/agno/agno/tools/python.py contains a path traversal vulnerability that allows attackers to read, write, or execute arbitrary files by supplying parent-directory traversal sequences in the file_name argument passed to read_file, save_to_file, or run_python_file tool actions. Attackers can inject traversal sequences such as '../../../../../../etc/passwd' through direct tool invocation or via prompt injection embedded in agent-processed content to escape the intended base_dir boundary and achieve arbitrary file read, arbitrary file write, or arbitrary Python code execution within the process user's authority.

wazuh · Wazuh wazuh

Wazuh is a free and open source platform used for threat prevention, detection, and response. From 4.0.0 until 4.14.6 and 5.0.0-beta2, AffectedItemsWazuhResult.merge() in framework/wazuh/core/results.py trusts the sort_casting field in a cluster worker's JSON response. During a distributed API merge, attacker-controlled type names are resolved through Python builtins without an allowlist. A compromised worker can set sort_casting to exec and place Python source in affected_items, causing the master to execute the payload as root when responses from multiple nodes are merged. This issue is fixed in versions 4.14.6 and 5.0.0-beta2.

gitpython-developers GitPython · Gitpython project gitpython

GitPython before 3.1.58 fails to validate submodule names from .gitmodules files, allowing attackers to create Git repositories at arbitrary filesystem paths outside the intended clone directory. Attackers can craft malicious repositories with traversal sequences in submodule names that GitPython processes during submodule initialization, creating attacker-controlled Git repositories at escaped filesystem locations.

gitpython-developers GitPython · Gitpython project gitpython

GitPython before 3.1.58 contains a config-name injection vulnerability in the option-name validator that allows attackers to forge arbitrary git-config directives by injecting equals signs, hash symbols, and whitespace into option names. Attackers can inject malicious option names like 'sshCommand = touch /tmp/RCE #' to execute arbitrary commands via core.sshCommand or core.hooksPath on the next git operation.

gitpython-developers GitPython · Gitpython project gitpython

GitPython before 3.1.58 contains a command execution vulnerability in the check_unsafe_options guard that can be bypassed by combining a single-character kwarg with split_single_char_options=False. Attackers can supply a crafted kwargs dictionary to guarded methods like clone_from to emit a joined token parsed as --upload-pack, enabling arbitrary OS command execution at default allow_unsafe_options=False.

gitpython-developers GitPython · Gitpython project gitpython

GitPython versions before 3.1.58 contain an arbitrary file overwrite vulnerability in IndexFile.from_tree, IndexFile.reset, and IndexFile.merge_tree methods that append caller-influenced treeish strings to git read-tree without option validation or argument separation. Attackers can inject the --index-output option to overwrite arbitrary files with a valid git-index blob, destroying existing file content at attacker-controlled writable paths.

gitpython-developers GitPython · Gitpython project gitpython

GitPython before 3.1.58 contains a remote code execution vulnerability in Repo.init that forwards unsafe git options without validation. Attackers can supply a template parameter pointing to a directory with malicious git hooks that execute arbitrary code when git operations are performed on the initialized repository.

Linuxfabrik monitoring-plugins · Linuxfabrik lib

linuxfabrik-lib provides Python modules for database access, caching, shell execution, and API integrations, and Linuxfabrik Monitoring Plugins uses those modules to run external monitoring commands. From the earliest affected releases until linuxfabrik-lib 5.0.0 and Linuxfabrik Monitoring Plugins 6.0.0, check plugins embedded user-controlled values in command strings passed to lib.shell.shell_exec(), which split strings at pipe characters and executed the resulting commands. In check-plugins/restic-check/restic-check, the --repo parameter could inject a pipe-delimited command into a constructed restic invocation, and sudo-authorized execution allowed a compromised nagios or icinga account to run that command as root. The shared library also accepted command strings and a shell parameter, while numerous plugins constructed external commands from attacker-influenced arguments. The fixes require argv lists, always use shell=False, remove pipe splitting, and reject option-like positional values through lib.shell.safe_cli_value(). These issues are fixed in linuxfabrik-lib 5.0.0 and Linuxfabrik Monitoring Plugins 6.0.0.

amoffat sh

sh provides Python process launching. Prior to 2.2.4, the _uid option in sh.py performs an incomplete privilege drop on Linux and Unix-like systems. When sh runs from an elevated process and launches a command with _uid set to an unprivileged user, the child changes its UID but can retain the parent process's supplementary groups because the privilege-drop sequence does not fully establish the target user's UID, primary GID, and supplementary groups. The child can therefore retain access to files or resources granted to privileged groups such as root, docker, disk, shadow, or sudo, violating the expected _uid privilege boundary. This issue is fixed in version 2.2.4.

Hmbown CodeWhale

CodeWhale (packages codewhale / codewhale-tui) versions >= 0.8.41 and < 0.8.64 contain a remote code execution vulnerability in the rlm_eval tool. The tool's approval_requirement() returns ApprovalRequirement::Auto, which the engine treats as 'never prompt,' causing arbitrary model-supplied Python code to run in a python3 interpreter without consulting the user's configured --approval-policy and without any approval prompt or audit step. An attacker can induce the agent to execute arbitrary code via prompt injection in untrusted content the agent reads (a web page, fetched URL, repository file, or MCP tool result); the companion rlm_open tool can stage such content. Code runs on the user's machine at the user's privilege level. Fixed in 0.8.64.

Hmbown CodeWhale

CodeWhale versions >= 0.8.41 and < 0.8.64 contain a vulnerability in the exec_shell_interact (alias exec_interact) tool, whose approval_requirement returns ApprovalRequirement::Auto. This overrides the default Required approval for code-executing tools, so LLM-controlled stdin is written into an already-approved long-running interactive shell (e.g., a python3 -i REPL, mysql, ssh, or sudo -i session) without any approval prompt. An attacker who can inject instructions via untrusted content the agent ingests (a fetched page, MCP result, or repo file) can cause commands to run at the privilege level of that approved process. Fixed in 0.8.64.

FreeCAD

FreeCAD is a free and open-source multiplatform 3D parametric modeler. Prior to 1.1.2, src/App/PropertyPythonObject.cpp in PropertyPythonObject::Restore() passes the attacker-controlled module attribute from serialized PropertyPythonObject XML directly to PyImport_ImportModule() while restoring a crafted FCStd document, which executes module-level Python code, and the legacy pickle branch also imports an attacker-controlled module and invokes its class constructor through PyObject_CallObject(). This issue is fixed in version 1.1.2.

FreeCAD

FreeCAD is a free and open-source multiplatform 3D parametric modeler. From 0.19 until 1.1.1, FreeCAD's BIM Workbench contains an eval() call on untrusted data from SVG template files. When a user creates a TechDraw page from a malicious SVG template, arbitrary Python code executes. The vulnerable code is in src/Mod/BIM/bimcommands/BimTDPage.py (line 87). This issue is fixed in version 1.1.1.

FreeCAD

FreeCAD is a free and open-source multiplatform 3D parametric modeler. From 0.19 until 1.1.1, src/Mod/BIM/bimcommands/BimProjectManager.py in the BIM Project Manager Load Template flow passes attacker-controlled FCStd Meta property values for wpposition, wpu, wpv, and wpaxis directly to eval(), allowing arbitrary Python code execution when a user loads a malicious BIM project template. This issue is fixed in version 1.1.1.

andialbrecht sqlparse

sqlparse is a non-validating SQL parser module for Python. Prior to 0.6.0, group_comments in sqlparse/engine/grouping.py repeatedly rescans comment-only statements before the MAX_GROUPING_TOKENS guard, causing quadratic CPU consumption through sqlparse.parse() and sqlparse.format(sql, strip_comments=True). This issue is fixed in version 0.6.0.

andialbrecht sqlparse

sqlparse is a non-validating SQL parser module for Python. Prior to 0.6.0, SQL_REGEX in sqlparse/keywords.py and the per-position loop in sqlparse/lexer.py repeatedly scan unmatched dollar-quoted literal and multiline-comment delimiters, causing quadratic CPU consumption through sqlparse.parse(), sqlparse.format(), and sqlparse.split(). This issue is fixed in version 0.6.0.

andialbrecht sqlparse

sqlparse is a non-validating SQL parser module for Python. Prior to 0.6.0, TokenList construction and string conversion in sqlparse/sql.py repeatedly flatten nested token subtrees constructed by group_parenthesis and group_case, causing quadratic CPU consumption through sqlparse.parse(), sqlparse.format(), and sqlparse.split() before depth and token limits terminate processing. This issue is fixed in version 0.6.0.

jahlives openssl_encrypt · Jahlives openssl encrypt

openssl_encrypt versions before 1.4.0 use Python's non-cryptographic random module for steganographic pixel selection in the generate_pseudorandom_sequence function. Attackers who know the password can recover the Mersenne Twister state from approximately 624 outputs and predict pixel locations containing hidden data for extraction.

libp2p py-libp2p

py-libp2p is the Python implementation of the libp2p networking stack. In 0.7.0 and earlier, the yamux handle_incoming() method in libp2p/stream_muxer/yamux/yamux.py reads an attacker-controlled 32-bit DATA frame length with read_exactly() before validating it against MAX_WINDOW_SIZE or checking whether stream_id exists. A peer that completes the standard Noise handshake can send a 12-byte frame declaring a 0xFFFFFFFF body and then withhold the body, causing the sequential yamux read loop used by the default new_host() configuration to block and preventing every stream on that connection from making progress. No fixed version is available as of this review.

gitpython-developers GitPython · Gitpython project gitpython

GitPython versions before 3.1.54 contain a remote code execution vulnerability in the check_unsafe_options guard that can be bypassed by smuggling git options inside single-character kwarg values. Attackers can supply crafted option dictionaries to clone_from, fetch, pull, push, ls_remote, iter_commits, blame, or archive methods to execute arbitrary OS commands via the --upload-pack parameter.

gitpython-developers GitPython · Gitpython project gitpython

GitPython versions before 3.1.54 contain an arbitrary file overwrite vulnerability in the Diffable.diff method that fails to validate git options passed through kwargs. Attackers can supply the --output argument via the other parameter or output kwarg to write patch content to attacker-chosen file paths at process privilege level.

gitpython-developers GitPython · Gitpython project gitpython

GitPython before 3.1.54 contains an incomplete denylist in unsafe_git_clone_options that omits --template, allowing attackers to achieve arbitrary command execution during clone operations. Attackers can supply --template pointing to a directory containing malicious post-checkout hooks that execute when git clones the repository.

gitpython-developers GitPython · Gitpython project gitpython

GitPython before 3.1.55 fails to disable environment variable expansion in Remote.create() and Submodule.add() URL handling, allowing attackers to exfiltrate secrets by supplying URLs containing variable references. Attackers can craft URLs with environment variable tokens that are expanded into .git/config and .gitmodules, then transmitted to attacker-controlled hosts during fetch or pull operations.

gitpython-developers GitPython · Gitpython project gitpython

GitPython before 3.1.57 fails to guard git option forwarding in IndexFile.checkout() and TagReference.create(), allowing attackers to pass unsafe options via kwargs. Attackers can use --prefix to overwrite arbitrary files with repository content or -F to read arbitrary files returned in-band.

FlowiseAI Flowise

Flowise versions before 3.1.3 contain a remote code execution vulnerability in the Custom MCP node when CUSTOM_MCP_PROTOCOL is set to stdio, allowing authenticated users to execute arbitrary commands by manipulating environment variables and command arguments. Attackers can abuse PYTHONWARNINGS and BROWSER environment variables with python3, or leverage the root working directory with node to bypass validation and execute system commands.

FlowiseAI Flowise

Flowise before 3.1.3 contains a code injection vulnerability in the CSV Agent node's customReadCSV parameter that allows authenticated attackers to execute arbitrary Python code. The validator uses a static regex blocklist that can be bypassed through obfuscation techniques, enabling attackers to execute code in the unsandboxed pyodide environment with full system access.

FlowiseAI Flowise

Flowise before 3.1.3 contains a code injection vulnerability in the Airtable Agent node that allows unauthenticated attackers to execute arbitrary Python code by bypassing the pythonCodeValidator blocklist through obfuscation techniques. Attackers can send crafted prompts to a chatflow using the Airtable Agent node to inject malicious Python code that executes in an unsandboxed pyodide environment with full access to the host operating system.

FlowiseAI Flowise

Flowise before 3.1.3 contains a sandbox escape vulnerability in pythonCodeValidator.ts that fails to block native Pandas DataFrame methods like to_csv, to_json, pipe, and query. Authenticated attackers can exploit this to exfiltrate uploaded CSV data or write arbitrary files to the server filesystem.

Fujitsu Research OneCompression

Fujitsu Research's OneCompression library before 1.2.1 contains an unsafe deserialization vulnerability that allows attackers to execute arbitrary code by supplying a crafted model.pt checkpoint file, as QuantizedModelLoader.load_quantized_model_pt() unconditionally calls torch.load with weights_only=False, invoking Python's pickle machinery during deserialization. Attackers can embed malicious __reduce__ methods in a crafted model checkpoint to execute arbitrary Python code, including system commands, when the library loads the file from a caller-selected model directory.

Snowflake Python APIs

Insufficient input sanitization in Snowflake Python API (`snowflake.core`) versions prior to 1.13.0 allowed confused-deputy privilege escalation through two related weaknesses: path traversal (CWE-22) via unencoded `..` identifier path segments, and HTTP parameter pollution (CWE-141) via unencoded `&`/`#`/`=` characters in query string values. An attacker with access to a downstream application built on snowflake.core could exploit the path traversal by supplying `..` as an object name, causing `snowflake.core` to issue REST requests against a parent resource or exploit the parameter pollution by injecting `&`/`#`/`=` into a free-form name field to override constraints on swap, clone, or rename operations — all executed under the application's privileged session. Successful exploitation requires the attacker to control an identifier or object-name string in an application built on snowflake.core that passes it to `snowflake.core` under a higher-privileged Snowflake session (e.g., an EXECUTE AS OWNER stored procedure, Streamlit app, or Native App). The fix is available in Snowflake Python API version 1.13.0, which also addresses several additional security findings. Users must manually upgrade.

kovidgoyal calibre

calibre is an e-book manager. Prior to 9.12.0, calibre processes attacker-controlled composite_template metadata from a malicious EPUB, OPF, PDF, or similar file through program: and a nested template() call whose formatter does not inherit allow_python_templates=False, allowing a nested python: template to reach compile_python_template and execute arbitrary Python code when the file is opened or imported. This issue is fixed in version 9.12.0.

FreeCAD

FreeCAD is a free and open-source multiplatform 3D parametric modeler. Prior to 1.1.2, the FEM Displacement Constraint task dialog in src/Mod/Fem/Gui/TaskFemConstraintDisplacement.cpp passes the xDisplacementFormula, yDisplacementFormula, and zDisplacementFormula fields of a Fem::ConstraintDisplacement object through TaskDlgFemConstraintDisplacement::accept() into Gui::Command::doCommand. The escaping helper neutralizes quotation marks but not backslashes, allowing crafted formula text to terminate the generated Python string and execute arbitrary Python code with the FreeCAD process's privileges when a victim accepts the dialog. This issue is fixed in version 1.1.2.

miguelgrinberg python-socketio

python-socketio is a Python implementation of the Socket.IO realtime client and server. The python-socketio server stores binary `EVENT` and `ACK` messages in memory while it waits to receive their binary attachments. Once all the attachments are received, these messages are then processed. Prior to version 5.16.4, an attacker can submit a binary message and intentionally omit sending one or more of its attachments to cause the message along with the partial list of received attachments to stay in memory for a long time. Version 5.16.4 takes the following measures to address this issue: Binary packets are only accepted from authenticated clients and, when a client disconnects, the server checks if there is a partial binary message being held for the client and deletes it.

miguelgrinberg python-engineio

python-engineio is a Python implementation of the Engine.IO realtime client and server. Versions prior to 4.13.2 have two specific configurations of the python-engineio server in which the size of incoming messages is not checked before the messages are loaded into memory. An attacker can take advantage of these to cause unnecessary memory allocations in the python-engineio server. The two cases are POST requests, when using ASGI with the long polling transport and WebSocket messages, when using Aiohttp with the WebSocket transport. Version 4.13.2 addresses this issue. ASGI severs now only load the body of incoming requests into memory after the client is confirmed to be known and authenticated, and the payload size is below the maximum allowed size. Requests that do not comply with these requirements are discarded. Aiohttp servers configure the maximum payload size in the underlying WebSocket layer from Aiohttp, so that large messages are discarded by Aiohttp before they are delivered to python-engineio.

miguelgrinberg python-engineio

python-engineio is a Python implementation of the Engine.IO realtime client and server. Prior to version 4.13.2, an attacker can cause the creation of unnecessary background threads in the python-engineio server by exploiting the heartbeat mechanism, which launches a thread when a new connection is received, and when the client sends a PONG packet. This issue primarily affects synchronous servers. Asynchronous servers allocate background tasks instead of physical threads, which are lightweight and less likely to cause denial of service. However, the fix that was implemented was also applied to the asynchronous case. Version 4.13.2 addresses this issue as follows: The initial background thread (or async task( for heartbeat management is only launched if a client passes authentication in the `connect` handler; and the server now ensures that there is only one background heatbeat thread (or async task) per client at a given point in time. Out of sequence PONG packets are now discarded when an active heartbeat thread is already running.

cursor

Cursor is a code editor built for programming with AI. Prior to 3.1.2, Cursor IDE for macOS allows an agent running in Auto-Run Sandbox mode to replace a virtual environment's Python executable with a malicious wrapper that the Microsoft Python extension invokes outside the sandbox, allowing arbitrary host commands with the user's privileges, including modifying files outside the workspace and launching applications. This issue is fixed in version 3.1.2.

Microsoft Python extension for Visual Studio Code · Microsoft python

Inclusion of functionality from untrusted control sphere in Visual Studio Code - Python extension allows an unauthorized attacker to bypass a security feature locally.

parisneo/lollms

A path traversal vulnerability exists in parisneo/lollms version 2.1.0, specifically in the SPA catch-all route implemented in `backend/routers/ui.py`. The vulnerability arises from the improper handling of user-controlled path input, which is directly joined into a filesystem path without sanitization or containment checks. URL-encoded dot-dot sequences (`%2e%2e`) bypass Starlette's built-in path normalization and are resolved by Python's `pathlib`, allowing an unauthenticated attacker to read arbitrary files on the server. This issue has been resolved in version 3.

facelessuser pymdown-extensions

pymdown-extensions is a collection of extensions for the Python Markdown library. In versions up to and including 11.0, four inline processors (caret, tilde, betterem, and magiclink) use regular expressions whose content groups can partition a run of delimiter characters in exponentially many ways, causing catastrophic backtracking. As a result, a single untrusted Markdown line under 50 bytes rendered with markdown.markdown() in each extension's default configuration drives the rendering thread into unbounded CPU usage that grows exponentially with input length, enabling an unauthenticated remote attacker who can submit Markdown to cause denial of service. The exposure is concrete for web applications that render user-supplied Markdown (comments, wikis, issue bodies, live preview), including any app using pymdownx.extra which bundles the vulnerable betterem default, as well as hosted docs/CI systems that build untrusted Markdown. The issue has been fixed in version 11.0.1.

MervinPraison PraisonAI · MervinPraison praisonaiagents

PraisonAI is a multi-agent teams system. In versions 3.9.26 through 4.6.57 of praiseonai and 0.12.12 through 1.6.57 of praiseonaiagents, the workflow "include" feature is vulnerable to code execution. Workflow._execute_include() implicitly imports and runs an included recipe's tools.py via a raw importlib.util.spec_from_file_location() and spec.loader.exec_module() call, without honoring the PRAISONAI_ALLOW_TEMPLATE_TOOLS/PRAISONAI_ALLOW_LOCAL_TOOLS autoload opt-in gates or routing through the centralized safe loader that protects the other tools.py autoload paths. As a result, a workflow that includes an attacker-controlled local recipe directory executes arbitrary module-level Python code during include setup, before any child workflow parsing or model call, and the same sink is reachable through the higher-level praisonai.recipe.run() recipe API. An attacker who can cause a victim process to run a workflow or recipe that includes an untrusted local recipe achieves arbitrary Python code execution as the PraisonAI process user, a variant that bypasses the hardening applied to the previously disclosed automatic tools.py RCE advisory family. This issue has been fixed in version 4.6.58 of praisonai and 1.6.58 of praisonaiagents.

IBM Langflow OSS · Langflow langflow

IBM Langflow OSS 1.0.0 through 1.10.3 could allow an authenticated attacker to execute arbitrary code due to a cryptographic weakness in the custom component validation mechanism. When the optional hardening mode that restricts execution to trusted component templates is enabled, the application validates component code using a truncated SHA‑256 hash. Because the hash comparison relies on only a portion of the digest, an attacker can craft malicious component code that collides with a trusted template hash and bypasses validation. Successful exploitation allows the attacker to introduce and execute unauthorized Python code within the Langflow process, defeating the intended security control and potentially leading to full compromise of the affected instance.

IBM Langflow OSS · Langflow langflow

IBM Langflow OSS 1.0.0 through 1.10.3 could allow an authenticated attacker to execute unintended code during Agentic Assistant validation due to improper handling of LLM‑generated components. The application executes model‑generated Python code in the backend during validation prior to user approval, which may allow an attacker to trigger side effects such as outbound network access, file system interaction, or data exfiltration with the privileges of the Langflow backend process.

IBM Langflow OSS · Langflow langflow

IBM Langflow OSS 1.0.0 through 1.10.3 could allow a remote authenticated attacker to execute arbitrary code due to improper validation of Python code during AST-based security scanning.

fledge-iot fledge

Fledge's backup-restore upload handler, upload_backup (python/fledge/services/core/api/backup_restore.py), takes the first extracted tar member's filename (tar_file_names[0]) and builds a shell command via string formatting. Because os.system invokes a shell and no quoting (shlex.quote, list-form subprocess) is applied, an admin uploading a crafted backup archive achieves arbitrary OS command execution.

pdm-project pdm

PDM is a Python package and dependency manager. In versions up to and including 2.26.9, PDM automatically loads project-local plugins from a .pdm-plugins directory during initialization, allowing an attacker-controlled file in an untrusted repository checkout to execute arbitrary Python code before any command is parsed. This happens because load_plugins() runs during Core.init() and adds .pdm-plugins via site.addsitedir(), which processes .pth files and immediately executes any line beginning with import, so the code runs with the privileges of the user invoking pdm and even a benign command such as pdm --version triggers it (making the impact strongest in CI, automation, and privileged contexts). The issue is fixed in version 2.27.0.

pdm-project pdm

pdm is a Python package and dependency manager supporting the latest PEP standards. Versions prior to 2.27.0 are vulnerable to path traversal through write_to_fs. InstallDestination.write_to_fs() in src/pdm/installers/installers.py overrides the base class to add symlink/hardlink support but replaces the safe _path_with_destdir() (which validates via Path.resolve() + is_relative_to()) with a bare os.path.join() that performs no path validation. A malicious wheel with traversal entries can write arbitrary files. This issue has been fixed in version 2.27.0.

FlowiseAI Flowise

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, the CSVAgent node allowed users to provide Python code that is executed through pyodide; although a denylist blocked dangerous Python constructs, pandas.read_pickle() could deserialize a pickled payload and achieve code execution without matching the denied words. The affected file is flowise-components/nodes/agents/CSVAgent/CSVAgent.ts, where user-supplied customReadCSVFunc is evaluated as pd.${customReadCSVFunc}. An authenticated user who can create or modify a chatflow can add a CSV Agent, place a malicious read_pickle payload in the Additional Parameters, save the chatflow, and trigger /api/v1/prediction/<UUID> to execute commands. This issue is fixed in version 3.1.3.

FlowiseAI Flowise

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, the CSVAgent in packages/components/nodes/agents/CSVAgent/CSVAgent.ts extracted attacker-controlled CSV data with file.split(',').pop() and interpolated it directly into executable Python as base64_string = "${base64String}" before calling Pyodide. The validatePythonCodeForDataFrame() denylist only checked later LLM-generated code and did not validate this initial code block. An authenticated attacker could inject a closing quote followed by Python code, use Pyodide's js bridge to load Node.js child_process, and execute arbitrary operating system commands as root in the Flowise container. This issue is fixed in version 3.1.3.

perspective-dev perspective

Perspective 5.0.0 contains a remote code execution vulnerability that allows unauthenticated attackers to execute arbitrary operating system commands by submitting crafted expression strings to the PolarsVirtualServer backend, which passes client-supplied input directly to Python's eval() with only __builtins__={} cleared. Attackers can exploit Python object attribute traversal through the interpreter's loaded class list to reach subprocess.Popen via a TableValidateExprReq or TableMakeViewReq protobuf message, achieving arbitrary command execution in the Perspective host process.

vibesurf-ai VibeSurf

A vulnerability has been found in vibesurf-ai VibeSurf up to cd6e519d507cdd4d63061300bf60fb176e1f57e0. Impacted is an unknown function of the file /code of the component Python Validation Handler. The manipulation leads to code injection. Remote exploitation of the attack is possible. This product follows a rolling release approach for continuous delivery, so version details for affected or updated releases are not provided. The vendor was contacted early about this disclosure but did not respond in any way.

pyca cryptography

python-cryptography is a package designed to expose cryptographic primitives and recipes to Python developers. In versions 42.0.0 through 48.0.0, when resolving invalid certificate chains that include duplicate copies of self-signed certificates, the processing recursively invokes the same candidate, leading to an exponential blowup. Although the limitation that the chain depth cannot exceed a specified maximum depth prevents unbounded recursion and guarantees termination, an attacker-controlled certificate chain can lead the processing to easily take more than 5s to reject in testing. This amplification could form the basis for a resource exhaustion denial of service attack. The core issue arises in the recursive nature of build_chain_inner, which does not de-duplicate against previously analyzed candidates. As the correctness of validation is not affected, the integrity of a system cannot be compromised through this vector, only its availability. This issue is fixed in 49.0.0.

pyca cryptography

cryptography is a package designed to expose cryptographic primitives and recipes to Python developers. From 44.0.0 until 50.0.0, pkcs7_decrypt_der, pkcs7_decrypt_pem, and pkcs7_decrypt_smime reported the outcome of decrypting a RecipientInfo's encryptedKey in several distinguishable ways, one of which disclosed the exact length recovered from the RSA operation. The same distinction was also observable by timing. An application that decrypts attacker-supplied EnvelopedData and reflects the outcome gives the attacker a Bleichenbacher oracle against the content-encryption key. Decryption ran as RSA PKCS#1 v1.5 decrypt of encryptedKey, build an AES cipher from the result, then AES-CBC decrypt and PKCS#7 unpad. Invalid RSA padding, a valid padding with a bad key length, a correct length with a wrong key, and the real key each failed or succeeded differently. Case 1 is reachable only where the linked library lacks implicit rejection: OpenSSL 3.0 and 3.1, LibreSSL, and BoringSSL. Exploitation requires a service that auto-decrypts untrusted EnvelopedData matching the victim certificate and answers adaptively at high volume, such as an S/MIME gateway or mail filter. This issue is fixed in 50.0.0.

aio-libs aiohttp

AIOHTTP is an asynchronous HTTP client/server framework for asyncio and Python. Prior to 3.14.3, an out-of-bounds heap read could occur in the C response parser while building an error message for a malformed response. An attacker controlled server, or possibly an accidental response, could trigger a DoS in the client. The vulnerable path was error message construction in aiohttp/_http_parser.pyx, where an llhttp error-position pointer was used to build a snippet for malformed chunked responses and malformed request or response bytes at the buffer end. This issue is fixed in version 3.14.3.

gitpython-developers GitPython · Gitpython project gitpython

GitPython before 3.1.53 fails to properly escape section names in git config files, allowing attackers to inject arbitrary configuration directives through malicious submodule names. Attackers can inject core.sshCommand or other dangerous config keys into the victim's .git/config via create_submodule or clone_from operations, achieving remote code execution when git performs ssh operations.

gitpython-developers GitPython · Gitpython project gitpython

GitPython before 3.1.50 fails to validate newline characters in the section parameter of config_writer(), allowing attackers to inject arbitrary section headers into .git/config. Attackers can inject newlines to create a forged [core] section with hooksPath pointing to attacker-controlled directories, achieving remote code execution when git hooks are triggered.

gitpython-developers GitPython · Gitpython project gitpython

GitPython before 3.1.51 contains an incomplete command injection blocklist that fails to account for git's long-option prefix abbreviation feature. Attackers can bypass the unsafe options guard by using abbreviated option names like upload_p instead of upload_pack, which git resolves to dangerous options and executes arbitrary commands.