757 matches found
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 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...
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...
Xalgorix Autonomous AI Pentesting Agent 4.5.71
Most scanners detect. Xalgorix proves. An autonomous LLM agent works a full pentest methodology, then an independent verifier re-exploits every finding before it's reported - so you get proof, not a pile of maybes to triage. Self-hosted, private, and bring-your-own-LLM. Built in Go + TypeScript...
llm-redteam-helixpay
Red-teaming an LLM support agent — HelixPay A self-contained...
Buffer Overflow
PocketSphinx is vulnerable to Buffer Overflow. The vulnerability is due to insufficient boundary checks while parsing language model headers and the use of unbounded sscanf string fields when loading acoustic models, which allows an attacker to supply malicious model files that trigger stack or...
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-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...
MemPoison: Uncovering Persistent Memory Threats and Structural Blind Spots in LLM Agents
Persistent external memory enhances agent continuity but introduces persistent security vulnerabilities: adversarial content can be injected via standard interaction channels, retained across turns, and later distort downstream behavior. To address this challenge, we propose MemPoison, a...
TuxBot v3 Evolution Shows Signs of LLM-Assisted IoT Botnet Development
Cybersecurity researchers have disclosed details of a previously unreported Internet-of-Things IoT botnet framework dubbed TuxBot v3 Evolution that shows signs of being developed with assistance from a large language model LLM, albeit with not so successful results. "While the AI complied with...
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...
Traffic-Aware Randomized Smoothing for LLM-Based Network Intrusion Detection
Large language model LLM-based intrusion detection systems IDS are increasingly studied for security monitoring, yet their robustness against feasible traffic manipulation remains largely empirical. We present Traffic-Aware Randomized Smoothing TA-RS, a classifier-agnostic certified defense that...
Xalgorix Autonomous AI Pentesting Agent 4.5.60
Most scanners detect. Xalgorix proves. An autonomous LLM agent works a full pentest methodology, then an independent verifier re-exploits every finding before it's reported - so you get proof, not a pile of maybes to triage. Self-hosted, private, and bring-your-own-LLM. Built in Go + TypeScript...
CVE-2026-24226
NVIDIA TensorRT-LLM for Linux contains a vulnerability where an attacker could cause improper control of code generation. A successful exploit of this vulnerability might lead to code execution, data tampering, and information disclosure...
Authentication Bypass
9Router is vulnerable to Authentication Bypass. The vulnerability is due to missing authentication checks for the /codex endpoint, where requests bypass the API key validation before being rewritten to protected API routes, allowing unauthenticated attackers to invoke upstream LLM provider APIs...
PT-2026-58753
NVIDIA TensorRT-LLM for any platform contains a vulnerability in the gRPC server chat API endpoint, where an attacker could cause CWE-20 by local attack. A successful exploit of this vulnerability might lead to denial of service...