611 matches found
CVE-2026-65699
AgentGPT through 1.0.0 contains an authorization bypass through user-controlled key vulnerability that allows authenticated users to attach tasks to another user's agent run by supplying a target runid in the request body without ownership verification. The AgentCRUD.createtask and...
CVE-2026-65699
AgentGPT through 1.0.0 contains an authorization bypass through user-controlled key vulnerability that allows authenticated users to attach tasks to another user's agent run by supplying a target runid in the request body without ownership verification. The AgentCRUD.createtask and...
PYSEC-2026-3498 PocketSphinx: Buffer overflows in language and acoustic model loading code
Impact The trie language model code introduced in PocketSphinx 5prealpha failed to check various boundary conditions when reading the headers of ARPA, DMP, and binary format language model files. In the case of invalid, corrupted or malicious input files, this could lead to stack and heap buffer...
GHSA-89GH-3PGC-V5H2 n8n: Custom Header Credential Values Leaked in Plaintext into LLM Node Execution Data
Impact Custom HTTP headers configured in credentials for certain LLM sub-nodes including OpenAI, Anthropic, and Lemonade are masked in the n8n UI but are written in plaintext into execution data during workflow runs. Any authenticated user with access to the execution data for an affected workflo...
n8n: Custom Header Credential Values Leaked in Plaintext into LLM Node Execution Data
Impact Custom HTTP headers configured in credentials for certain LLM sub-nodes including OpenAI, Anthropic, and Lemonade are masked in the n8n UI but are written in plaintext into execution data during workflow runs. Any authenticated user with access to the execution data for an affected workflo...
NPM: n8n: Custom Header Credential Values Leaked in Plaintext into LLM Node Execution Data
NPM: n8n: Custom Header Credential Values Leaked in Plaintext into LLM Node Execution Data vulnerability discovered by ? in WordPress Npm n8n versions 1.123.64...
GHSA-FMVG-VHQQ-R2MJ Duplicate Advisory: Custom Header Credential Values Leaked in Plaintext into LLM Node Execution Data
Duplicate Advisory This advisory has been withdrawn because it is a duplicate of GHSA-89gh-3pgc-v5h2. This link is maintained to preserve external references. Original Description n8n versions before 1.123.64 fail to properly mask custom HTTP header credentials in LLM sub-node execution data,...
CVE-2026-65589 n8n before 1.123.64 Credential Exposure via LLM Node Execution Data
n8n versions before 1.123.64 fail to properly mask custom HTTP header credentials in LLM sub-node execution data, writing plaintext API keys and secrets to workflow execution records. Authenticated users with access to execution data can read exposed header values and credentials that persist in...
CVE-2026-65589
CVE-2026-65589 affects n8n versions before 1.123.64. The vulnerability arises because custom HTTP header credentials used by the LLM sub-node execution data are not masked, causing plaintext API keys and secrets to be written to workflow execution records. Authenticated users with access to execu...
EUVD-2026-47633
n8n versions before 1.123.64 fail to properly mask custom HTTP header credentials in LLM sub-node execution data, writing plaintext API keys and secrets to workflow execution records. Authenticated users with access to execution data can read exposed header values and credentials that persist in...
PT-2026-63347
Name of the Vulnerable Software and Affected Versions n8n versions prior to 1.123.64 Description Custom HTTP header credentials used in LLM sub-nodes, such as OpenAI, Anthropic, and Lemonade, are not properly masked during execution. While these values appear masked in the user interface, they ar...
GHSA-56R5-2P2F-7CXP PocketSphinx: Buffer overflows in language and acoustic model loading code
Impact The trie language model code introduced in PocketSphinx 5prealpha failed to check various boundary conditions when reading the headers of ARPA, DMP, and binary format language model files. In the case of invalid, corrupted or malicious input files, this could lead to stack and heap buffer...
EUVD-2026-18522
vLLM: Processing differential in multi-channel audio downmixing enables hidden-input/moderation bypass for audio models...
PT-2026-60899
Name of the Vulnerable Software and Affected Versions PocketSphinx versions 5prealpha through 5.1.0 Description The trie language model code fails to check boundary conditions when reading headers of ARPA, DMP, and binary format language model files, which can lead to stack and heap buffer...
EUVD-2026-44762
Strands Agents is an open-source Python SDK for building and running AI agents. The strands-agents-tools package provides pre-built tools for use with the SDK, including the elasticsearchmemory tool for agent memory storage. We identified CVE-2026-15746, a server-side request forgery SSRF issue i...
CVE-2026-15746 Credential disclosure in Strands Agents Tools elasticsearch_memory tool
Strands Agents is an open-source Python SDK for building and running AI agents. The strands-agents-tools package provides pre-built tools for use with the SDK, including the elasticsearchmemory tool for agent memory storage. We identified CVE-2026-15746, a server-side request forgery SSRF issue i...
CVE-2026-56259 Crawl4AI - LLM Credential Exfiltration via base_url and Environment Variable Resolution
Crawl4AI before 0.8.8 contains credential exfiltration vulnerabilities in the Docker API server that allow attackers to redirect LLM API calls to attacker-controlled endpoints and read arbitrary environment variables. Attackers can exploit the unauthenticated /md, /llm, and /llm/job endpoints by...
PYSEC-2026-3443
Crawl4AI before 0.8.7 contains a server-side request forgery SSRF vulnerability in the Docker API server's /crawl/job and /llm/job endpoints, which accept webhook URLs without destination validation. An attacker can supply webhook URLs pointing to private or internal IP ranges, Docker networks, o...
patchtriage
PatchTriage !CIhttps://github.com/d01ki/patchtriage/actio...
CVE-2026-55615 Langroid: Neo4jChatAgent executes LLM-generated Cypher without validation (prompt-to-Cypher injection; config-conditional RCE), mirroring the SQLChatAgent bug fixed in CVE-2026-25879
Langroid is a framework for building large-language-model-powered applications. Prior to version 0.65.5, Neo4jChatAgent passes LLM-generated Cypher queries straight to the Neo4j driver with no validation, no statement-type allowlist, and no opt-out gate. The query text is influenceable by prompt...