756 matches found
augustus v0.14.11
Augustus - LLM vulnerability scanner for prompt injection, jailbreak, and adversarial attack testing Augustus - LLM Vulnerability Scanner Test large language models against 210+ adversarial attacks covering prompt injection, jailbreaks, encoding exploits, and data extraction. Augustus is a Go-bas...
Isolated but Exposed: Persistence-Based Memory Extraction Attack on LLM Agents
LLM-based agents extend large language models with long-term memory LTM that persists privacy-sensitive user data across sessions. Production systems mitigate extraction risks through memory isolation, binding each user's LTM to a unique identifier. This defense has blocked known attacks on share...
PoCEvolve: Generating Proof-Of-Concept Exploits from Security Patches with Vulnerability-Aware Prompt Evolution
Ideally, the detailed information about a vulnerability should be made available together with the fixing commit. In practice, however, such details often become available only long after the commit, even when a CVE has already been published. During this window, the patch is already public, so...
Transforming Keystroke Noise to Text: Self-Supervised Acoustic Eavesdropping Attacks on Keyboards
We present a self-supervised acoustic eavesdropping attack that reconstructs typed text solely from keystroke sounds, without requiring labeled data for the target device. The proposed attack enables stealthy eavesdropping in two real-world scenarios-physical spaces public and semi-public 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...
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...
PocketSphinx: Buffer overflows in language and acoustic model loading code
ImpactThe 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...
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...
PraisonAI: Arbitrary File Read/Write via `multiedit` Tool Without Path Validation
SummaryThe multiedit tool in src/praisonai/praisonai/tools/multiedit.py allows LLM-controlled arbitrary file read and write without any path validation, workspace boundary check, or protected path guard. This enables an attacker who can influence agent tool arguments via crafted prompts, user inp...
PT-2026-64106
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...
PT-2026-64134
Summary The email search tool in src/praisonai-agents/praisonaiagents/tools/email tools.py constructs IMAP SEARCH commands by interpolating LLM-controlled parameters from addr, subject, query directly into IMAP protocol strings using f-string formatting with double-quote delimiters. An attacker w...
Directed Symbolic Execution for Vulnerability Discovery: An LLM-Guided Approach in KLEE
Symbolic execution effectively discovers security violations but suffers from path explosion. Engines like KLEE therefore use path prioritization heuristics to order state exploration, typically optimizing code coverage. However, path prioritization can become trapped in cyclic control-flow...
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...
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...
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: Bypass "Allowed HTTP Request Domains" Credential Restriction in Multiple AI and LLM Nodes
NPM: n8n: Bypass "Allowed HTTP Request Domains" Credential Restriction in Multiple AI and LLM Nodes vulnerability discovered by ? in WordPress Npm n8n versions 2.31.5...
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,...
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...
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 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...