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19 CVE
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CVE-2026-111702 7.5 Élevée
sugarforever chat-ollama
ChatOllama through commit 96c3ce5 contains an insecure direct object reference vulnerability that allows remote attackers to access other users' private knowledge bases by supplying sequential ids. Attackers can enumerate ids via GET /api/knowledgebases/{id} or the knowledgebaseId parameter of POST /api/models/chat to read metadata and retrieved document content.
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CVE-2026-110719 7.2 Élevée
Portkey-AI gateway
Portkey AI Gateway 1.14.0 through 1.15.2 contains a server-side request forgery vulnerability that allows unauthenticated attackers to reach loopback and Docker host services because isValidCustomHost trusts localhost-style hosts when TRUSTED_CUSTOM_HOSTS is unset. Attackers can send /v1 requests with a crafted x-portkey-custom-host header, such as via the ollama provider, to make the gateway call internal services and return their responses.
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CVE-2026-109296 4.3 Moyenne
open-webui
Open WebUI before 0.11.4 contains a missing authorization vulnerability that allows authenticated users to reach disabled model provider backends by supplying an explicit backend index. Attackers can pass the index as a path segment or query parameter on Ollama and OpenAI-compatible listing routes to trigger requests carrying configured API keys, read version strings, and enumerate connections.
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CVE-2026-102697 7.8 Élevée
ollama
Ollama versions 0.14.0 before 0.31.2 contain an incorrect authorization vulnerability in the experimental agent mode Bash tool approval mechanism that fails to properly parse shell syntax. Attackers who can influence model output through prompt injection can execute additional shell commands by appending control operators like semicolons or logical operators to approved commands, bypassing the session approval requirement.
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CVE-2026-77294 8.1 Élevée
mauriceboe TREK
TREK is a collaborative travel planner. Prior to 3.3.0, TREK allows an authenticated user to store an attacker-controlled llm_base_url through the settings API when the LLM_PARSING feature is enabled. Write permission to the target trip instance is required to trigger the vulnerable AI-assisted import path. The value is consumed by the clients in server/src/nest/llm-parse/clients/openai-compatible.client.ts, server/src/nest/llm-parse/clients/anthropic.client.ts, and server/src/nest/llm-parse/router/ollama-format.client.ts without applying the server-side request forgery guard. Triggering AI-assisted trip parsing causes the server to request the supplied destination, and upstream error response text can be returned in parsing warnings. This permits internal service discovery and access to link-local cloud metadata, with possible disclosure of infrastructure credentials and subsequent modification of protected cloud resources. This issue is fixed in version 3.3.0.
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CVE-2026-61732 10.0 Critique
BitterSecurity Decepticon · BitterSecurity decepticon-core · BitterSecurity decepticon-sdk
Decepticon is an autonomous hacking agent for red teams. Versions prior to 1.1.17 wrap web crawl results — the output of agent reconnaissance against target services — into LLM messages without neutralizing ChatML special-token literals. Under the BYOK (Bring Your Own Key) deployment model, users configure their own LLM credentials to any OpenAI-compatible endpoint. Most open-source and self-deployed model providers (vLLM, SGLang, Ollama, LM Studio, text-generation-webui, etc.) do not filter special-token literals from user content in their default configurations. Those literals are parsed into structural role-boundary token IDs, meaning an attacker string planted in a target web page forges a new operator turn the model treats as authoritative, bypassing Decepticon's agent guardrails and resulting in arbitrary command execution inside the Kali Linux sandbox. Version 1.1.17 patches the issue.
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CVE-2026-85709 5.3 Moyenne
HKUDS LightRAG
LightRAG provides simple and fast retrieval-augmented generation. Prior to 1.5.5, the LightRAG API server returns raw Python exception text from error handlers in document_routes.py, graph_routes.py, query_routes.py, ollama_api.py, and lightrag_server.py. The detail=str(e), detail=str(exc), and equivalent formatted-message paths expose server filesystem paths, database host, port, user, and database names, language-model provider diagnostics, configuration details, and Python library internals to a network client that can trigger an error. The default unauthenticated configuration makes those responses reachable without credentials, and URI-configured backends can disclose connection strings containing credentials depending on the underlying driver error. This issue is fixed in version 1.5.5.
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CVE-2026-85180 7.5 Élevée
ollama
Ollama fails to validate redirect destinations when pulling tensor-layer models, allowing unauthenticated attackers to redirect blob downloads to arbitrary hosts. An attacker can control a registry, serve a malicious tensor-layer manifest, and cause the server to issue GET requests to internal hosts including cloud metadata endpoints.
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CVE-2026-19334 5.3 Moyenne
NightTrek Ollama-mcp
A flaw has been found in NightTrek Ollama-mcp up to 80cf2e17cfc144963a475b619093a2d13c13dbc9. This affects an unknown part of the file src/index.ts. This manipulation of the argument name/modelfile/source/destination causes command injection. The attack can only be executed locally. This product is using a rolling release to provide continious delivery. Therefore, no version details for affected nor updated releases are available. The project was informed of the problem early through an issue report but has not responded yet.
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CVE-2026-9081 7.1 Élevée
IBM Langflow OSS · Langflow langflow
IBM Langflow OSS 1.0.0 through 1.10.3, and 1.0.0 through 1.10.3 contains a Server-Side Request Forgery (SSRF) vulnerability in the validate_model_provider_key() function for the Ollama provider. The function accepts a user-supplied OLLAMA_BASE_URL parameter and passes it directly to requests.get() without validation, scheme/host allowlisting, or filtering of private IP ranges (loopback, RFC1918, link-local addresses).
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CVE-2026-65315 7.5 Élevée
Ollama
Ollama (HEAD f0078ae) contains an uncontrolled memory allocation vulnerability in the GGUF metadata parser that allows remote attackers to crash the server by supplying a crafted GGUF file with attacker-controlled length and count fields in string lengths, tensor dimension counts, and metadata array counts that are used as allocation sizes without validation against remaining file size. Attackers can upload a sub-1KB crafted GGUF file via the blob upload and model create or pull API endpoints to trigger unrecoverable Go runtime out-of-memory fatal errors or makeslice panics that bypass recovery middleware and crash the entire server process.
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CVE-2026-59213 5.0 Moyenne
open-webui · Openwebui open webui
Open WebUI is an extensible, feature-rich, and user-friendly self-hosted AI platform. From 0.6.27 before 0.10.0, get_all_models handlers in routers/openai.py and routers/ollama.py passed a lambda to aiocache key instead of key_builder, causing permission-filtered per-user model lists to share a static cache entry and exposing one user’s model list to another caller during the TTL window. This issue is fixed in version 0.10.0.
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CVE-2026-59706 9.3 Critique
mem0
mem0 contains unauthenticated config API endpoints that expose LLM API keys in plaintext and allow server-side request forgery via attacker-controlled ollama_base_url parameter. Unauthenticated attackers can retrieve stored secrets like OpenAI API keys via GET /api/v1/config/ or trigger SSRF attacks by setting ollama_base_url to internal addresses like cloud IMDS via PUT /api/v1/config/mem0/llm endpoint.
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CVE-2026-5757 7.5 Élevée
Ollama AI Ollama · Ollama ollama
Unauthenticated remote information disclosure vulnerability in Ollama's model quantization engine allows an attacker to read and exfiltrate the server's heap memory, potentially leading to sensitive data exposure, further compromise, and stealthy persistence.
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CVE-2026-43625 5.9 Moyenne
steipete CodexBar
CodexBar prior to 0.32.0 contains a session cookie leakage vulnerability that allows network attackers to intercept imported browser session cookies by exploiting improper redirect handling for Amp and Ollama provider sessions. Attackers can position themselves on the network path to receive cleartext HTTP requests carrying imported session cookies when a provider-controlled redirect target issues a redirect to a cleartext HTTP endpoint within the same provider domain.
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CVE-2026-45365 5.4 Moyenne
open-webui · Openwebui open webui
Open WebUI is a self-hosted artificial intelligence platform designed to operate entirely offline. Prior to 0.8.11, an internal-only bypass_filter parameter is exposed on the /openai/chat/completions and /ollama/api/chat HTTP endpoints via FastAPI query string binding, allowing any authenticated user to append ?bypass_filter=true and bypass model access control checks to invoke admin-restricted models. This vulnerability is fixed in 0.8.11.
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CVE-2026-7482 9.1 Critique
ollama · Ollama ollama
Ollama before 0.17.1 contains a heap out-of-bounds read vulnerability in the GGUF model loader. The /api/create endpoint accepts an attacker-supplied GGUF file in which the declared tensor offset and size exceed the file's actual length; during quantization in fs/ggml/gguf.go and server/quantization.go (WriteTo()), the server reads past the allocated heap buffer. The leaked memory contents may include environment variables, API keys, system prompts, and concurrent users' conversation data, and can be exfiltrated by uploading the resulting model artifact through the /api/push endpoint to an attacker-controlled registry. The /api/create and /api/push endpoints have no authentication in the upstream distribution. Default deployments bind to 127.0.0.1, but the documented OLLAMA_HOST=0.0.0.0 configuration is widely used in practice (large public-internet exposure observed).
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CVE-2026-42249 9.8 Critique
Ollama · Ollama ollama
Ollama for Windows contains a Remote Code Execution vulnerability in its update mechanism due to improper handling of attacker‑controlled HTTP response headers. When downloading updates, the application constructs local file paths using values derived from HTTP headers without validation. These values are passed directly to filepath.Join, allowing path traversal sequences (../) to be resolved and enabling files to be written outside the intended update staging directory. An attacker who can influence update responses can exploit this flaw to write arbitrary executables to attacker‑chosen locations accessible to the current user, including the Windows Startup directory. This allows execution of arbitrary executables. Critically, when chained with CVE‑2026‑42248 (Missing Signature Verification for Updates), an attacker can deliver malicious payloads that are written to sensitive locations and executed automatically. Because Ollama for Windows performs silent automatic updates and executes staged binaries without user interaction, this results in automatic and persistent code execution without user awareness. Maintainers of this project were notified early about this vulnerability, but didn't respond with the details of vulnerability or vulnerable version range. Versions from 0.12.10 to 0.17.5 were tested and confirmed as vulnerable, other versions were not tested but might also be vulnerable.
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CVE-2026-42248 9.8 Critique
Ollama · Ollama ollama
Ollama for Windows does not perform integrity or authenticity verification of downloaded update executables. Unlike other platforms, the Windows implementation of the update verification routine unconditionally returns success so no digital signature or trust validation is performed before staging or executing update payloads, enabling attacker‑supplied executables to be accepted and later executed by the application. Critically, Ollama for Windows performs silent automatic updates, so the malicious payload may be installed automatically without user awareness. Maintainers of this project were notified early about this vulnerability, but didn't respond with the details of vulnerability or vulnerable version range. Versions from 0.12.10 to 0.17.5 were tested and confirmed as vulnerable, other versions were not tested but might also be vulnerable.