allennlp (>=1.2.0rc1.dev20201022, <=1.2.1), allennlp-models (>=1.2.0rc1.dev20201022, <=1.2.1) +5 more potentially affected by CVE-2024-3568 via transformers (3.4.0)

transformers PYPI version 3.4.0 is affected by a known vulnerability. The following packages have a transitive dependency on transformers and may be impacted: - allennlp =1.2.0rc1.dev20201022, =1.2.0rc1.dev20201022, =0.0.4, =0.0.1, =2.2.5, =2.3.1 Source cves: CVE-2024-3568 Source advisory:...

faculty-models (0.2.0), mlflow-faculty (0.5.0) potentially affected by CVE-2023-6977 via mlflow (1.7.2)

mlflow PYPI version 1.7.2 is affected by a known vulnerability. The following packages have a transitive dependency on mlflow and may be impacted: - faculty-models 0.2.0 - mlflow-faculty 0.5.0 Source cves: CVE-2023-6977 Source advisory: OSV:PYSEC-2026-1659...

faculty-models (0.2.0), mlflow-faculty (0.5.0) potentially affected by CVE-2023-6976 via mlflow (1.7.2)

mlflow PYPI version 1.7.2 is affected by a known vulnerability. The following packages have a transitive dependency on mlflow and may be impacted: - faculty-models 0.2.0 - mlflow-faculty 0.5.0 Source cves: CVE-2023-6976 Source advisory: OSV:PYSEC-2026-1662...

faculty-models (>=0.1.0, <=0.1.1), mlflow-faculty (>=0.4.0, <=0.4.3) potentially affected by CVE-2023-6977 via mlflow (1.2.0)

mlflow PYPI version 1.2.0 is affected by a known vulnerability. The following packages have a transitive dependency on mlflow and may be impacted: - faculty-models =0.1.0, =0.4.0, =0.4.3 Source cves: CVE-2023-6977 Source advisory: OSV:PYSEC-2026-1659...

faculty-models (>=0.1.0, <=0.1.1), mlflow-faculty (>=0.4.0, <=0.4.3) potentially affected by CVE-2023-6976 via mlflow (1.2.0)

mlflow PYPI version 1.2.0 is affected by a known vulnerability. The following packages have a transitive dependency on mlflow and may be impacted: - faculty-models =0.1.0, =0.4.0, =0.4.3 Source cves: CVE-2023-6976 Source advisory: OSV:PYSEC-2026-1662...

faculty-models (0.2.0), mlflow-faculty (0.5.0) potentially affected by CVE-2023-43472 via mlflow (1.7.2)

mlflow PYPI version 1.7.2 is affected by a known vulnerability. The following packages have a transitive dependency on mlflow and may be impacted: - faculty-models 0.2.0 - mlflow-faculty 0.5.0 Source cves: CVE-2023-43472 Source advisory: OSV:PYSEC-2026-1661...

faculty-models (>=0.1.0, <=0.1.1), mlflow-faculty (>=0.4.0, <=0.4.3) potentially affected by CVE-2023-43472 via mlflow (1.2.0)

mlflow PYPI version 1.2.0 is affected by a known vulnerability. The following packages have a transitive dependency on mlflow and may be impacted: - faculty-models =0.1.0, =0.4.0, =0.4.3 Source cves: CVE-2023-43472 Source advisory: OSV:PYSEC-2026-1661...

faculty-models (0.2.0), mlflow-faculty (0.5.0) potentially affected by CVE-2023-6940 via mlflow (1.7.2)

mlflow PYPI version 1.7.2 is affected by a known vulnerability. The following packages have a transitive dependency on mlflow and may be impacted: - faculty-models 0.2.0 - mlflow-faculty 0.5.0 Source cves: CVE-2023-6940 Source advisory: OSV:PYSEC-2026-1652...

faculty-models (>=0.1.0, <=0.1.1), mlflow-faculty (>=0.4.0, <=0.4.3) potentially affected by CVE-2023-6940 via mlflow (1.2.0)

mlflow PYPI version 1.2.0 is affected by a known vulnerability. The following packages have a transitive dependency on mlflow and may be impacted: - faculty-models =0.1.0, =0.4.0, =0.4.3 Source cves: CVE-2023-6940 Source advisory: OSV:PYSEC-2026-1652...

What Changes When Your Software Supply Chain Includes AI Writing Your Code?

Software supply chain security was hard enough. Then AI joined the build pipeline. For five years, "software supply chain security" meant one question: what's in your code? Which open-source packages, which versions, which transitive dependencies three layers deep that nobody chose on purpose?...

aggmap (>=1.1.1, <=1.2.1), animl (>=1.1.2, <=1.1.4) +54 more potentially affected by CVE-2023-25673 via tensorflow-gpu (>=2.0.0, <=2.10.1)

tensorflow-gpu PYPI version =2.0.0, =1.1.1, =1.1.2, =0.0.1, =0.0.9, =0.2.1, =0.1.0, =0.0.4, =1.1.1, =1.1.0, =0.1.1, =0.3.2 and more Source cves: CVE-2023-25673 Source advisory: OSV:PYSEC-2026-956...

animl (>=1.1.2, <=1.1.4), audio-classification-models (1.0.1) +50 more potentially affected by CVE-2022-41897 via tensorflow-gpu (>=2.0.0, <=2.8.3)

tensorflow-gpu PYPI version =2.0.0, =1.1.2, =0.0.1, =0.0.9, =0.2.1, =0.1.0, =0.0.4, =1.1.1, =1.1.0, =0.1.1, =0.1.0, =0.1.7 and more Source cves: CVE-2022-41897 Source advisory: OSV:PYSEC-2026-984...

animl (>=1.1.2, <=1.1.4), audio-classification-models (1.0.1) +44 more potentially affected by CVE-2022-35989 via tensorflow-gpu (>=2.0.0, <=2.7.0)

tensorflow-gpu PYPI version =2.0.0, =1.1.2, =0.0.1, =0.0.9, =0.0.4, =1.1.1, =1.1.0, =0.1.1, =0.1.0, =0.1.5, =0.2.0, =0.2.1 and more Source cves: CVE-2022-35989 Source advisory: OSV:PYSEC-2026-1011...

XDECAF: An Extensible Data Flow Diagram Analysis Framework for Information Security

xDECAF is an extensible tool for architecture-based data flow analysis with a focus on information security. It combines an extended data flow diagram metamodel of labeled flows and nodes, a domain-specific constraint language with different flow operations, and a browser-based editor backed by a...

Large Language Models (LLMs) and Generative AI in Cybersecurity and Privacy: A Survey of Dual-Use Risks, AI-Generated Malware, Explainability, and Defensive Strategies

Large Language Models LLMs and generative AI GenAI systems, such as ChatGPT, Claude, Gemini, LLaMA, Copilot, Stable Diffusion by OpenAI, Anthropic, Google, Meta, Microsoft, Stability AI, respectively, are revolutionizing cybersecurity, enabling both automated defense and sophisticated attacks...

Beyond Refusal: A Same-Lineage Study of Aligned and Abliterated LLMs for Vulnerability Analysis

Large language model LLM-assisted software security operates at a difficult boundary: the vulnerability-analysis terminology needed for legitimate code review, triage, and repair can closely resemble terminology associated with misuse. Existing safety and cybersecurity evaluations are difficult t...

CVE-2026-59707: Server-Side Request Forgery (SSRF)

LocalAI contains an unauthenticated server-side request forgery vulnerability in the POST /models/apply endpoint that allows attackers to fetch arbitrary internal URLs. The endpoint passes unsanitized gallery URL fields directly to gallery.GetGalleryConfigFromURLWithContext without proper...

PT-2026-105495

LocalAI contains an unauthenticated server-side request forgery vulnerability in the POST /models/apply endpoint that allows attackers to fetch arbitrary internal URLs. The endpoint passes unsanitized gallery URL fields directly to gallery.GetGalleryConfigFromURLWithContext without proper...

CVE-2026-55514 vLLM denial of service via prompt embeds on M-RoPE models

vLLM is a library for LLM inference and serving. From 0.12.0 to before 0.24.0, sending a pure prompt embeds payload in a /v1/completions request with a model using M-RoPE causes EngineCore to fail an assertion and fatally crash, shutting down the entire server application. Any remote user who is...

CVE-2026-55514

CVE-2026-55514 affects the vLLM library (inference/serving) from versions 0.12.0 through older than 0.24.0. Sending a pure prompt embeds payload in a /v1/completions request for a model using M-RoPE triggers an EngineCore assertion, causing a fatal crash that shuts down the entire server applicat...