475 matches found
PT-2026-63031
Name of the Vulnerable Software and Affected Versions Oracle Commerce Guided Search / Oracle Commerce Experience Manager version 11.4.0 Description A flaw exists in the Content Acquisition System component of Oracle Commerce Guided Search / Oracle Commerce Experience Manager. A low privileged...
PT-2026-63047
Vulnerability in the Oracle Commerce Guided Search / Oracle Commerce Experience Manager product of Oracle Commerce component: Endeca Application Controller. The supported version that is affected is 11.4.0. Easily exploitable vulnerability allows low privileged attacker with logon to the...
PT-2026-63039
Name of the Vulnerable Software and Affected Versions Oracle Commerce Guided Search Platform Services version 11.4.0 Description An issue exists in the Forge component of Oracle Commerce Guided Search Platform Services. An unauthenticated attacker with network access via HTTP can exploit this fla...
Tool-Guided Retrieval-Augmented Repair for Securing LLM-Generated C Code
Large language models can generate C code from natural-language descriptions, but resulting programs often contain security vulnerabilities and compilation errors, posing risks for embedded and resource-constrained systems. This work investigates how feedback and retrieval improve reliability of...
PT-2026-63042
Name of the Vulnerable Software and Affected Versions Oracle Commerce Guided Search / Oracle Commerce Experience Manager version 11.4.0 Description An issue in the Experience Manager component allows an unauthenticated attacker with network access via HTTP to compromise the system. Successful...
PT-2026-63045
Name of the Vulnerable Software and Affected Versions Oracle Commerce Guided Search / Oracle Commerce Experience Manager version 11.4.0 Description A flaw in the Experience Manager component allows a low privileged attacker with network access via HTTP to compromise the system. Successful...
PT-2026-63049
Name of the Vulnerable Software and Affected Versions Oracle Commerce Guided Search / Oracle Commerce Experience Manager version 11.4.0 Description A flaw in the Content Acquisition System component allows an unauthenticated attacker with network access via HTTPS to compromise the system...
PT-2026-63043
Name of the Vulnerable Software and Affected Versions Oracle Commerce Guided Search / Oracle Commerce Experience Manager version 11.4.0 Description An issue exists in the Experience Manager component that allows an unauthenticated attacker with network access via RMI Remote Method Invocation, a...
PT-2026-63048
Name of the Vulnerable Software and Affected Versions Oracle Commerce Guided Search / Oracle Commerce Experience Manager version 11.4.0 Description A flaw in the Forge component allows an unauthenticated attacker with network access via HTTP to compromise the system. Successful exploitation can...
clusterfuzz v2.35.0
ClusterFuzz ClusterFuzz is a scalable fuzzing infrastructure that finds security and stability issues in software. Google uses ClusterFuzz to fuzz all Google products and as the fuzzing backend for OSS-Fuzz. ClusterFuzz provides many features which help seamlessly integrate fuzzing into a softwar...
FlowGuard: From Signals to Evidence for MCP Security Detection
The Model Context Protocol MCP enables LLM agents to interact with external tools through metadata exchange, tool invocation, and response consumption. Existing MCP security scanners primarily reason about suspicious semantic signals rather than real execution behaviors, which can lead to...
clusterfuzz v2.34.0
ClusterFuzz ClusterFuzz is a scalable fuzzing infrastructure that finds security and stability issues in software. Google uses ClusterFuzz to fuzz all Google products and as the fuzzing backend for OSS-Fuzz. ClusterFuzz provides many features which help seamlessly integrate fuzzing into a softwar...
clusterfuzz v2.33.14
ClusterFuzz ClusterFuzz is a scalable fuzzing infrastructure that finds security and stability issues in software. Google uses ClusterFuzz to fuzz all Google products and as the fuzzing backend for OSS-Fuzz. ClusterFuzz provides many features which help seamlessly integrate fuzzing into a softwar...
Explainability-Aware Frustum Attack: Exposing Structural Vulnerabilities in LiDAR-Based 3D Object Detectors
The structural vulnerabilities of point cloud-based 3D object detectors remain poorly understood. Prior work has studied adversarial robustness primarily on isolated 3D object models, while recent LiDAR spoofing attacks target richer and more realistic driving scenes but focus mainly on physical...
American Fuzzy Lop plus plus 5.02c
Google's American Fuzzy Lop is a brute-force fuzzer coupled with an exceedingly simple but rock-solid instrumentation-guided genetic algorithm. afl++ is a superior fork to Google's afl. It has more speed, more and better mutations, more and better instrumentation, custom module support, etc...
MIRROR: Novelty-Constrained Memory-Guided MCTS Red-Teaming for Agentic RAG
Multimodal agentic retrieval-augmented generation RAG systems expand the attack surface beyond prompt injection to include text poisoning, image injection, direct-query attacks, and orchestrator-level tool manipulation. Existing red-teaming approaches are typically surface-specific and often...
Analyzing Defensive Misdirection against Model-Guided Automated Attacks on Agentic AI Systems
Agentic AI systems increasingly rely on language-model components to interpret instructions, process external data, invoke tools, and coordinate with other agents. These capabilities make prompt-injection and jailbreak attacks more consequential, especially as attackers adopt model-guided...
American Fuzzy Lop plus plus 5.01c
Google's American Fuzzy Lop is a brute-force fuzzer coupled with an exceedingly simple but rock-solid instrumentation-guided genetic algorithm. afl++ is a superior fork to Google's afl. It has more speed, more and better mutations, more and better instrumentation, custom module support, etc...
TGCM: Topic-Guided Generative Disentanglement of Interleaved APT Technique Sequences
In enterprise environments, multiple Advanced Persistent Threat APT campaigns often unfold concurrently, producing audit logs in which attack techniques across actors sources are interleaved over time. This setting naturally gives rise to an Unknown-K Interleaved Sequence Demixing UKISD problem:...
