Semaine du 12 octobre au 18 octobre 2026

sgl-project sglang

SGLang 0.5.10 through 0.5.22 contains a code injection vulnerability in _evaluate_filter() that allows remote attackers to execute Python code by escaping the eval() sandbox through re.search __globals__. Attackers can send a crafted filter expression to the unauthenticated /dumper/configure endpoint when DUMPER_SERVER_PORT is set, running code in the scheduler process on the next forward pass.

Hewlett Packard Enterprise HPE NonStop Python 3.x

A directory traversal vulnerability in HPE NonStop Python 3.x could allow  attackers to overwrite arbitrary files via a .. (dot dot) sequence in filenames in a TAR archive.

gitpython-developers GitPython

GitPython before 3.2.0 contains an argument injection vulnerability in Head.checkout() that allows remote attackers to read arbitrary files by supplying a branch name parsed as a git option. Attackers can host a repository whose default branch is named --pathspec-from-file=<path>, causing cloning applications that check out the active branch to leak file contents through GitCommandError messages.

gitpython-developers GitPython

GitPython from 3.1.30 before 3.2.0 contains a remote code execution vulnerability in Remote.pull() whose unsafe-option guard inspects only keyword arguments, not the positional refspec. Attackers controlling the refspec can supply --upload-pack=<command> to execute OS commands as the calling process over local-path or SSH transports.

gitpython-developers GitPython

GitPython before 3.2.0 contains a remote code execution vulnerability that allows attackers to run commands because Git.ls_remote forwards URLs without check_unsafe_protocols validation. Attackers can supply ext:: remote-helper URLs to execute commands when git permits the ext transport, while merge_base and IndexFile.move also accept unguarded option injection.

gitpython-developers GitPython

GitPython before 3.2.0 contains a regular expression denial of service vulnerability in the _re_actor_epoch pattern used by parse_actor_and_date on author, committer, and tagger lines. Attackers can serve repositories with commit or tag objects containing long space-filled lines lacking a valid epoch or timezone, causing quadratic backtracking and CPU exhaustion.

modelcontextprotocol python-sdk

The Model Context Protocol Python SDK is the official Python SDK for Model Context Protocol servers and clients. In mcp versions before 1.29.1 and from 2.0.0a1 through 2.0.1, the Streamable HTTP session manager, SSE message endpoint, and OAuth authorization-server routes buffer complete HTTP request bodies without enforcing a maximum size. An unauthenticated remote client able to reach an affected endpoint can send a large declared or streamed request body that consumes multiple times the body size in process memory and can repeatedly exhaust memory or terminate the server. Stdio-only servers and deployments with an effective upstream request-size limit are not affected, and applications that use StreamableHTTPServerTransport directly remain responsible for enforcing their own limit. The standard SDK server applications and session managers are fixed in versions 1.29.1 and 2.1.0.

ludwig-ai ludwig

Ludwig is a low-code framework for building custom LLMs, neural networks, and other AI models. Prior to 0.17.8, ludwig.datasets.archives.extract_archive() validated tar member names before calling TarFile.extractall() but did not validate symlink members or hard-link members. A crafted archive could create a link that escaped the extraction directory and then write a later member through that link, placing attacker-controlled content at an arbitrary filesystem path with the extracting process's privileges. The same containment check used os.path.commonprefix, so a sibling path sharing the destination's character prefix could also pass. The dataset-loading path can download and extract configured archive URLs, but exploitation requires a user to process an archive from a source controlled or compromised by the attacker on supported Python 3.12 and 3.13 runtimes. Python 3.14 is not affected because its default tar data filter rejects escaping links. This issue is fixed in version 0.17.8.

jdx mise

mise manages dev tools like node, python, cmake, and terraform. Prior to 2026.7.14, in the default non-safe mode, mise loads .mise.toml [settings] from an untrusted local project before trust approval and strip_local_only_settings removes only fields marked global_only. The unix_default_file_shell_args, unix_default_inline_shell_args, windows_default_file_shell_args, and windows_default_inline_shell_args settings were not marked global_only, allowing a repository to replace the default interpreter arguments used by trusted tasks that have no explicit shell, postinstall directives, template exec operations, or hooks that fall back to the default shell. When mise appends the trusted command after the attacker-controlled interpreter arguments, the attacker-selected command can execute first with the developer account's privileges even though the local configuration was never trusted. The separate path-sanitization hardening note in the advisory is outside this vulnerability. This issue is fixed in version 2026.7.14.

Red Hat OpenShift Container Platform 4.21

The insights-runtime-extractor runs as a privileged DaemonSet (`hostPID: true`) that scans container processes for runtime fingerprinting. When scanning a container, the coordinator: 1. **fork()s** a child process 2. **setns()** into the target container's PID and mount namespaces 3. **fchdir()** back to an orphaned FD pointing at the extractor's own root filesystem (where `/crio.sock` is hostPath-mounted) 4. Calls **only `seteuid(target_uid)`** — changing the effective UID but leaving the **real UID and saved-set-UID at 0** and **retaining the permitted capability set** 5. The `check_no_privileged_perms()` guard inspects only the Effective capability set (so it passes), and is **skipped entirely when the target runs as uid 0** 6. The `VersionExecutable` fingerprint invokes `fpr_kind_executable` with `process.command_line[0]` — the target's argv[0], read from `/proc/<pid>/cmdline` and **fully controlled by the workload** 7. `fpr_kind_executable` calls `exec.Command(executable, "--version").Output()` — executing the **workload's own binary** inside the workload's mount namespace while **ruid=0 in the host user namespace** The executed process can call `setuid(0)` to restore full root with `CAP_SYS_ADMIN`, and inherits the orphaned cwd which resolves into the extractor container's filesystem containing the host CRI-O socket. ## Affected Code ### 1. Insufficient privilege drop (Rust — extractor coordinator) **File:** `extractor/src/insights_runtime_extractor.rs` ```rust // Lines 139-146 — seteuid-only drop, guard skipped for root containers join_process_namespaces(process.pid)?; change_dir(current_dir); switch_user(*process.uid)?; if *process.uid != 0 { perms::check_no_privileged_perms() .expect("Must not have privileged permissions to run fingerprints"); } fingerprint::run_fingerprints(&config, out_dir, &process); ``` ```rust // Lines 182-185 — only effective UID changed; ruid/suid stay 0 fn switch_user(uid: u32) -> Result<(), ScannerError> { debug!("... Becoming user: {uid}"); seteuid(uid.into()).map_err(|e| ScannerError::Errno(e)) } ``` ### 2. Execution of untrusted binary (Go — fingerprint) **File:** `fingerprints/pkg/utils/file.go` ```go // Lines 75-80 — executes a path taken verbatim from workload's argv[0] func GetExecutableVersionOutput(executable string) (string, error) { out, err := exec.Command(executable, "--version").Output() if err != nil { return "", err } return string(out), nil } ``` ### 3. Workload-controlled path forwarded (Rust — version_executable) **File:** `version_executable.rs` ```rust // Lines 29-34 — workload-controlled command_line[0] forwarded to fingerprint return Some(vec![ fpr_kind_executable, out_dir.to_string(), String::from(&process.command_line[0]), String::from(&version_executable.runtime_kind_name), ]); ``` ## Attack Pattern **Attacker:** Any tenant able to schedule a pod (unprivileged, any namespace) **Victim:** The node running the insights-runtime-extractor DaemonSet **Trigger:** Automatic — the DaemonSet scans all container processes on the node **Attack sequence:** 1. Attacker creates a pod whose process name matches a configured versioned-executable pattern (`node`, `python`, `python3`, `MainThread`, or contains `java`) 2. The pod's main binary (at the path matching argv[0]) is a malicious executable that calls `setuid(0)` to restore root 3. When the insights operator triggers a scan, the DaemonSet forks, enters the attacker's mount namespace, and executes the attacker's binary with ruid=0 4. The attacker's code regains full root with `CAP_SYS_ADMIN` in the host user namespace 5. The inherited cwd contains the host CRI-O socket → full node compromise

Microsoft Windows 10 Version 1607 · Microsoft Windows 10 Version 1809 · Microsoft Windows 10 Version 21H2 · Microsoft Windows 10 Version 22H2

Improper privilege management in Python allows an authorized attacker to elevate privileges locally.

marcosschroh dataclasses-avroschema

dataclasses-avroschema generates Avro schemas from Python dataclasses, Pydantic models, and Faust Records and generates Python code from Avro schemas. From version 0.38.0 through 0.70.5, BaseGenerator.parse_enum and EnumRepresentation.render_symbols use each schema-controlled enum symbol as a generated enum member name after case conversion but without validating it as an identifier. When generator classes are used directly, newlines and punctuation can inject constrained statements into the generated enum class body, allowing namespace modification or preventing the module from loading. Version 0.70.6 fixes the vulnerability by validating every enum symbol as a name.

marcosschroh dataclasses-avroschema

dataclasses-avroschema generates Avro schemas from Python dataclasses, Pydantic models, and Faust Records and generates Python code from Avro schemas. From version 0.38.0 through 0.70.5, BaseGenerator.parse_fixed interpolates a fixed type's aliases value directly into a generated types.confixed annotation. A list is represented with quoted entries, but a bare string is emitted as an unquoted Python expression and evaluated when the generated module is imported, allowing arbitrary code execution from a crafted schema. Version 0.70.6 fixes the vulnerability by rejecting aliases values that are not lists.

marcosschroh dataclasses-avroschema

dataclasses-avroschema generates Avro schemas from Python dataclasses, Pydantic models, and Faust Records and generates Python code from Avro schemas. From version 0.38.0 through 0.70.5, FieldRepresentation.get_field_default renders a schema-controlled enum field default as an enum member reference after applying case conversion but without validating it as an identifier. Newlines, operators, and punctuation can escape the intended reference and inject constrained statements into the generated module, allowing namespace modification or preventing the module from loading. Version 0.70.6 fixes the vulnerability by validating enum defaults as names.

marcosschroh dataclasses-avroschema

dataclasses-avroschema generates Avro schemas from Python dataclasses, Pydantic models, and Faust Records and generates Python code from Avro schemas. From version 0.38.0 through 0.70.5, EnumRepresentation.render_symbols concatenates each schema-controlled enum symbol between double quotes in a generated enum assignment. When generator classes are used directly, a quote can terminate the string literal and inject arbitrary Python code into the enum class body, which executes when the generated module is imported. Version 0.70.6 fixes the vulnerability by escaping enum symbol values before rendering them.

marcosschroh dataclasses-avroschema

dataclasses-avroschema generates Avro schemas from Python dataclasses, Pydantic models, and Faust Records and generates Python code from Avro schemas. From version 0.44.0 through 0.70.5, the Pydantic and AvroDantic model generators insert a schema field's pydantic-class value after pydantic. in a generated field annotation without safely restricting the expression. Because annotations are evaluated when the generated module is imported, a crafted value can execute arbitrary Python code. Version 0.70.6 fixes the vulnerability by restricting the value to a bare name or a call to a bare name with literal arguments.

marcosschroh dataclasses-avroschema

dataclasses-avroschema generates Avro schemas from Python dataclasses, Pydantic models, and Faust Records and generates Python code from Avro schemas. From version 0.65.9 through 0.70.5, PydanticFieldRepresentation.add_field_properties inserts a schema field's doc value between the quotes of a generated pydantic.Field description argument without escaping it. A crafted quote can terminate the string and inject an expression evaluated during generated class definition, allowing arbitrary Python code execution for Pydantic and AvroDantic model generation. Version 0.70.6 fixes the vulnerability by escaping the documentation value before rendering it.

marcosschroh dataclasses-avroschema

dataclasses-avroschema generates Avro schemas from Python dataclasses, Pydantic models, and Faust Records and generates Python code from Avro schemas. From version 0.38.0 through 0.70.5, BaseGenerator.parse_fixed inserts a fixed type's namespace value between quotes inside a generated types.confixed annotation without escaping or validating it. A crafted quote can terminate the namespace string and alter the surrounding annotation expression, which Python evaluates when the generated class is defined, allowing arbitrary code execution. Version 0.70.6 fixes the vulnerability by requiring the namespace to be a dot-separated sequence of valid Avro names.

marcosschroh dataclasses-avroschema

dataclasses-avroschema generates Avro schemas from Python dataclasses, Pydantic models, and Faust Records and generates Python code from Avro schemas. From version 0.40.0 through 0.70.5, ClassRepresentation.render_docstring copies a schema record's doc value into a generated triple-double-quoted class docstring without escaping quotes or backslashes. A crafted triple-quote sequence can close the docstring and inject statements into the generated class body, while a trailing backslash can escape the generated closing delimiter, allowing Python code execution during module import. Version 0.70.6 fixes the vulnerability by escaping quotes, backslashes, and unsafe control characters before rendering docstrings.

marcosschroh dataclasses-avroschema

dataclasses-avroschema generates Avro schemas from Python dataclasses, Pydantic models, and Faust Records and generates Python code from Avro schemas. From version 0.62.3 through 0.70.5, ClassRepresentation.render_metaclass inserts a schema-controlled Avro record name into the quoted Meta.schema_name field of generated Python source without escaping it. A crafted name can terminate the string literal and inject statements into the generated class body, which execute when the generated module is imported. Version 0.70.6 fixes the vulnerability by escaping schema values rendered into generated string literals.

marcosschroh dataclasses-avroschema

dataclasses-avroschema generates Avro schemas from Python dataclasses, Pydantic models, and Faust Records and generates Python code from Avro schemas. From version 0.47.3 through 0.70.5, FieldRepresentation.get_field_default inserts a schema-controlled referenced record name into the callable position of a generated default_factory lambda without validating it as an Avro name. A crafted record name can become an arbitrary Python expression that executes when an instance of the generated model consumes the field default. Version 0.70.6 fixes the vulnerability by rejecting record names that do not match the Avro name grammar.

marcosschroh dataclasses-avroschema

dataclasses-avroschema generates Avro schemas from Python dataclasses, Pydantic models, and Faust Records and generates Python code from Avro schemas. From version 0.38.0 through 0.70.5, FieldRepresentation.get_field_default inserts schema-controlled string, UUID, bytes, and fixed field defaults into quoted literals in generated Python source without escaping them. A crafted default can terminate the literal and inject statements into the generated module, which execute when the module is imported. Version 0.70.6 fixes the vulnerability by escaping schema values rendered into generated string literals.

heymrun heym

Heym builds and runs agentic systems and business-process automations on self-hosted infrastructure. Prior to 0.0.40, an authenticated user who can create or edit a workflow with an Agent custom Python tool can bypass the blacklist-based sandbox in backend/app/services/python_tool_executor.py because allowed standard-library modules expose operating-system, process, and filesystem capabilities through public attributes that pass _safe_import() and _validate_code_safety(). The runner then executes the supplied tool with exec(), permitting commands and file operations as the backend application user; self-registration affects reachability, but portal triggering alone does not grant code control. This issue is fixed in 0.0.40.