augustus v0.14.12

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...

A Structuration Approach to Theorizing Cybersecurity Practice: The STARC Model

The problem: Cybersecurity practice runs simultaneously across analysts, teams, organizations, sectors, and regulators, co-evolves with adversaries, and increasingly blends human and algorithmic decision-making. The theories applied to it operate at single organizational levels and cannot explain...

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...

TYPO: Instruction-Dense Visual Jailbreaks against Commercial Closed-Source Image-Generation Models

Recent commercial image-generation models can generate high-quality images with readable text e.g., posters, infographics, and manuals, attracting considerable attention. Yet we first show that this same capability also introduces a previously unreported safety vulnerability: these systems may...

Communication Security Via Temporal Dependency

Communication security has traditionally been built upon one of two external resources: shared secret keys or a communication advantage over the eavesdropper. However, many practical wireless scenarios, including infrastructure-less, emergency, and highly dynamic networks, cannot guarantee either...

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors Via Adversarial Code Comments

Large language models are increasingly deployed for security-sensitive tasks such as vulnerability detection and code review. Their reliance on natural-language context embedded in source code exposes a previously underexplored attack surface: adversarial comments that can influence a detector's...

EXE-Bench: Ranking the Tradeoffs of AI-Based Windows Malware Detectors for Real-World Usability

Due to the lack of systematic evaluations, we are not yet able to determine which AI-based Windows malware detector to deploy in production, since existing evaluations i differ in terms of data used for both training and testing; ii do not consider temporal analysis to showcase whether models...

Just Testing, Move Along: Evasion of LLM-Based System Log Interpretation by Prompt Injection

Large Language Models LLMs are increasingly integrated into Security Operations Center SOC workflows, where they support analysts in tasks such as the interpretation of system logs. However, the ability of LLMs to directly process untrusted textual input also introduces new attack surfaces. In...

DarkPrompt

DarkPrompt !CIhttps://github.com/jason-allen-oneal/DarkPr...

augustus v0.14.8

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...

ac-solver (0.1.0), acedeploy (>=2.4.15, <=2.4.366.dev1) +770 more potentially affected by unknown CVE via gitpython (>=3.0.0, <=3.1.53)

gitpython PYPI version =3.0.0, =2.4.15, =2025.10.17, =0.4.0, =0.4.0, =1.2.3, =0.4.7, =0.4.7, =0.2.0, =0.1.8, =0.87.2.dev9, =0.5.0, =0.1.0.dev19, =1.3.0, =2.0.3 and more Source cves: unknown CVE Source advisory: GHSA-FJR4-X663-MWXC...

Small, Free, and Effective: Orchestrating Open-Weight Small Language Models to Outperform Single LLM for Malware Analysis

Malware analysis demands rapid interpretation of complex detonation reports spanning filesystem, network, and process behaviours. While large language models LLMs demonstrate impressive capabilities for technical artifact interpretation, the opacity and escalating API costs of closed-weight...

Awesome-MoAI-Security — Updated!

Awesome Mobile On-Device AI Security SoK: Attack and Defense Landscape of Mobile On-device AI Systems Yujin Huang, Xin Zheng, Xingliang Yuan, Kwok-Yan Lam Mobile on-device AI systems execute AI models locally through ML frameworks such as LiteRT/TFLite , Core ML , ExecuTorch , ONNX , and...

Data Leakage Prevention in Agentic Applications Via Preemptive Hardening

Agentic systems integrate LLM driven planning with interfaces to external tools, making data leakage and tool misuse feasible via instruction/data boundary failures and prompt injection attacks. Enforcing required controls consistently is particularly challenging in workflows spanning many...

adversarial-robustness-toolbox (1.2.0), aristote-malo (1.9.5) +79 more potentially affected by CVE-2026-59205 via pillow (7.0.0)

pillow PYPI version 7.0.0 is affected by a known vulnerability. The following packages have a transitive dependency on pillow and may be impacted: - adversarial-robustness-toolbox 1.2.0 - aristote-malo 1.9.5 - auto-annotate =1.0.0, =1.0.2, =0.1.0.dev31, =1.0.1, =0.2.3, =0.0.1.25, =0.2.1, =0.0.2,...

adversarial-insight-ml (0.1.0), aioinstagrapi (>=1.1.19, <=1.1.21) +183 more potentially affected by CVE-2026-59197 via pillow (10.0.1)

pillow PYPI version 10.0.1 is affected by a known vulnerability. The following packages have a transitive dependency on pillow and may be impacted: - adversarial-insight-ml 0.1.0 - aioinstagrapi =1.1.19, =1.1.2, =1.7.3, =0.0.1, =0.0.29, =0.1.0, =4.4.0.69, =4.0.0, =1.0.0, =1.0.1 and more Source...

adversarial-robustness-toolbox (1.2.0), aristote-malo (1.9.5) +79 more potentially affected by CVE-2026-55798 via pillow (7.0.0)

pillow PYPI version 7.0.0 is affected by a known vulnerability. The following packages have a transitive dependency on pillow and may be impacted: - adversarial-robustness-toolbox 1.2.0 - aristote-malo 1.9.5 - auto-annotate =1.0.0, =1.0.2, =0.1.0.dev31, =1.0.1, =0.2.3, =0.0.1.25, =0.2.1, =0.0.2,...

adversarial-insight-ml (0.1.0), aioinstagrapi (>=1.1.19, <=1.1.21) +183 more potentially affected by CVE-2026-55798 via pillow (10.0.1)

pillow PYPI version 10.0.1 is affected by a known vulnerability. The following packages have a transitive dependency on pillow and may be impacted: - adversarial-insight-ml 0.1.0 - aioinstagrapi =1.1.19, =1.1.2, =1.7.3, =0.0.1, =0.0.29, =0.1.0, =4.4.0.69, =4.0.0, =1.0.0, =1.0.1 and more Source...

aamutils (>=0.0.11, <=0.0.12), adversarial-workflow (>=0.4.0, <=0.9.8) +516 more potentially affected by CVE-2026-54060 via pillow (>=12.0.0, <=12.2.0)

pillow PYPI version =12.0.0, =0.0.11, =0.4.0, =1.10.0rc1, =0.0.116, =0.13.2, =0.1.0rc1, =1.0.7, =0.1.0, =1.1.0, =1.3.0, =0.1.0, =0.2.0, =0.6.0, =0.8.0.dev20260511, =0.13.0.dev20261012 and more Source cves: CVE-2026-54060 Source advisory: OSV:GHSA-5X94-69RX-G8H2...

aamutils (>=0.0.11, <=0.0.12), adversarial-workflow (>=0.4.0, <=0.9.8) +516 more potentially affected by CVE-2026-54058 via pillow (>=12.0.0, <=12.2.0)

pillow PYPI version =12.0.0, =0.0.11, =0.4.0, =1.10.0rc1, =0.0.116, =0.13.2, =0.1.0rc1, =1.0.7, =0.1.0, =1.1.0, =1.3.0, =0.1.0, =0.2.0, =0.6.0, =0.8.0.dev20260511, =0.13.0.dev20261012 and more Source cves: CVE-2026-54058 Source advisory: OSV:GHSA-62P4-GMF7-7G93...