allennlp (>=1.0.0rc6.dev20200604, <=1.1.0rc1.dev20200709), allennlp-models (>=1.0.0rc6, <=1.1.0rc1.dev20200709) +29 more potentially affected by CVE-2025-14920 via transformers (2.11.0)

transformers PYPI version 2.11.0 is affected by a known vulnerability. The following packages have a transitive dependency on transformers and may be impacted: - allennlp =1.0.0rc6.dev20200604, =1.0.0rc6, =0.0.1rc1, =0.1.2, =0.1.3, =0.5.2, =0.1.2, =3.0.1, =0.1.0, =1.8.0, =0.12.2.dev2, =0.12.2.dev...

allennlp (>=1.0.0rc4.dev20200513, <=1.0.0rc6.dev20200601), allennlp-models (>=1.0.0rc4, <=1.0.0rc5) potentially affected by CVE-2025-14920 via transformers (2.9.1)

transformers PYPI version 2.9.1 is affected by a known vulnerability. The following packages have a transitive dependency on transformers and may be impacted: - allennlp =1.0.0rc4.dev20200513, =1.0.0rc4, =1.0.0rc5 Source cves: CVE-2025-14920 Source advisory: OSV:PYSEC-2025-211...

adamix-gpt2 (>=0.0.1, <=0.0.2), allennlp (>=1.2.0rc1.dev20200930, <=1.2.0rc1.dev20201021) +6 more potentially affected by CVE-2025-14920 via transformers (3.3.1)

transformers PYPI version 3.3.1 is affected by a known vulnerability. The following packages have a transitive dependency on transformers and may be impacted: - adamix-gpt2 =0.0.1, =1.2.0rc1.dev20200930, =1.2.0rc1.dev20201007, =0.0.1, =0.5.0, =0.1.11, =0.1.12 - mc-transformers 0.1.11 Source cves:...

allennlp (>=1.0.0rc6.dev20200602, <=1.1.0rc1.dev20200706), allennlp-models (>=1.1.0rc1.dev20200630, <=1.1.0rc1.dev20200706) +6 more potentially affected by CVE-2025-14920 via transformers (2.10.0)

transformers PYPI version 2.10.0 is affected by a known vulnerability. The following packages have a transitive dependency on transformers and may be impacted: - allennlp =1.0.0rc6.dev20200602, =1.1.0rc1.dev20200630, =0.0.6, =2.7.3, =0.2.15, =0.2.0, =0.3.0 Source cves: CVE-2025-14920 Source...

On the Effectiveness of Instruction-Tuning Local LLMs for Identifying Software Vulnerabilities

Large Language Models LLMs show significant promise in automating software vulnerability analysis, a critical task given the impact of security failure of modern software systems. However, current approaches in using LLMs to automate vulnerability analysis mostly rely on using online API-based LL...

Odysseus: Jailbreaking Commercial Multimodal LLM-Integrated Systems Via Dual Steganography

By integrating language understanding with perceptual modalities such as images, multimodal large language models MLLMs constitute a critical substrate for modern AI systems, particularly intelligent agents operating in open and interactive environments. However, their increasing accessibility al...

PT-2025-52634

Name of the Vulnerable Software and Affected Versions Sharp Display Solutions projectors affected versions not specified Sharp Display Solutions NP-P627UL Description A flaw exists in Sharp Display Solutions projectors that allows an attacker to create and run unauthorized firmware. This issue do...

Energy-Efficient Multi-LLM Reasoning for Binary-Free Zero-Day Detection in IoT Firmware

Securing Internet of Things IoT firmware remains difficult due to proprietary binaries, stripped symbols, heterogeneous architectures, and limited access to executable code. Existing analysis methods, such as static analysis, symbolic execution, and fuzzing, depend on binary visibility and...

PT-2025-52631

Name of the Vulnerable Software and Affected Versions Sharp projectors affected versions not specified Description A flaw exists in Sharp Display Solutions projectors that involves improper validation of the integrity check value. This could allow an attacker to create and execute unauthorized...

Needles in a Haystack: Using Forensic Network Science to Uncover Insider Trading

Although the automation and digitisation of anti-financial crime investigation has made significant progress in recent years, detecting insider trading remains a unique challenge, partly due to the limited availability of labelled data. To address this challenge, we propose using a data-driven...

CVE-2025-14910

A vulnerability was detected in Edimax BR-6208AC 1.02. This impacts the function handleretr of the component FTP Daemon Service. The manipulation results in path traversal. The attack may be launched remotely. The exploit is now public and may be used. Edimax confirms this issue: "This product is...

PT-2025-52408

Name of the Vulnerable Software and Affected Versions ABB T-MAC Plus version 4.0-24 Firebox affected versions not specified Description ABB T-MAC Plus is affected by improper neutralization of input during web page generation, which leads to cross-site scripting XSS, a condition where malicious...

PT-2025-52494

Name of the Vulnerable Software and Affected Versions Dive versions prior to 0.11.1 Description Dive is an open-source MCP Host Desktop Application that integrates with function-calling LLMs. A critical Stored Cross-Site Scripting XSS issue exists in the Mermaid diagram rendering component. The...

Cryptanalysis of Pseudorandom Error-Correcting Codes

Pseudorandom error-correcting codes PRC is a novel cryptographic primitive proposed at CRYPTO 2024. Due to the dual capability of pseudorandomness and error correction, PRC has been recognized as a promising foundational component for watermarking AI-generated content. However, the security of PR...

Siemens LOGO! 8 BM Devices Buffer Copy Without Checking Size of Input (CVE-2025-40815)

A vulnerability has been identified in - LOGO! 12/24RCE 6ED1052-1MD08-0BA2 All versions - LOGO! 12/24RCEo 6ED1052-2MD08-0BA2 All versions - LOGO! 230RCE 6ED1052-1FB08-0BA2 All versions - LOGO! 230RCEo 6ED1052-2FB08-0BA2 All versions - LOGO! 24CE 6ED1052-1CC08-0BA2 All versions - LOGO! 24CEo...

Large Language Models As a (Bad) Security Norm in the Context of Regulation and Compliance

The use of Large Language Models LLM by providers of cybersecurity and digital infrastructures of all kinds is an ongoing development. It is suggested and on an experimental basis used to write the code for the systems, and potentially fed with sensitive data or what would otherwise be considered...

Jailbreak-Zero: A Path to Pareto Optimal Red Teaming for Large Language Models

This paper introduces Jailbreak-Zero, a novel red teaming methodology that shifts the paradigm of Large Language Model LLM safety evaluation from a constrained example-based approach to a more expansive and effective policy-based framework. By leveraging an attack LLM to generate a high volume of...

A Systematic Study of Code Obfuscation against LLM-Based Vulnerability Detection

As large language models LLMs are increasingly adopted for code vulnerability detection, their reliability and robustness across diverse vulnerability types have become a pressing concern. In traditional adversarial settings, code obfuscation has long been used as a general strategy to bypass...

CVE-2025-33212

Summary: NVIDIA NeMo Framework’s model-loading vulnerability could enable code execution, privilege escalation, DoS, or data tampering when loading a malicious file. Root cause: improper control during file/model loading. Impact: HIGH across confidentiality, integrity, and availability. Exploitat...

UIXPOSE: Mobile Malware Detection Via Intention-Behaviour Discrepancy Analysis

We introduce UIXPOSE, a source-code-agnostic framework that operates on both compiled and open-source apps. This framework applies Intention Behaviour Alignment IBA to mobile malware analysis, aligning UI-inferred intent with runtime semantics. Previous work either infers intent statically, e.g.,...