20125 matches found
EUVD-2021-8072
Malicious code in bioql PyPI...
EUVD-2023-49454
Malicious code in bioql PyPI...
EUVD-2023-35461
Malicious code in bioql PyPI...
EUVD-2025-7789
Malicious code in bioql PyPI...
EUVD-2025-24149
Malicious code in bioql PyPI...
EUVD-2024-36076
Malicious code in bioql PyPI...
EUVD-2022-6729
Malicious code in bioql PyPI...
EUVD-2024-36065
Malicious code in bioql PyPI...
EUVD-2024-52314
Malicious code in bioql PyPI...
EUVD-2022-7497
Malicious code in bioql PyPI...
EUVD-2023-2102
Malicious code in bioql PyPI...
PT-2025-40797
CVE-2025-61671 - Rejected reason: Further research determined the i CVE ID : CVE-2025-61671 Published : Oct. 3, 2025, 7:15 a.m. | 4 hours, 12 minutes ago Description : Rejected reason: Further research determined the issue is not an open source vulnerability. Severity: 0.0 | NA Visit the link for...
Cursor 安全漏洞
Cursor is an AI code editor from Cursor Open Source. A security vulnerability exists in Cursor 1.7 and earlier versions that stems from inadequate protection of sensitive files and could lead to remote code execution...
Claude Code 安全漏洞
Claude Code is an open source proxy coding tool from Anthropic. A security vulnerability exists in Claude Code versions prior to 1.0.120 that stems from a failure to consider symbolic links when checking permission denial rules, which could lead to bypassing file access restrictions...
Claude Code 代码注入漏洞
Claude Code is an open source proxy coding tool from Anthropic. A code injection vulnerability exists in Claude Code versions prior to 1.0.111, which stems from a flaw in the implementation of the startup trust dialog box that could lead to a code injection attack...
Cursor 信息泄露漏洞
Cursor is an AI code editor open-sourced by Cursor. An information disclosure vulnerability exists in Cursor 1.6 and earlier versions, which stems from Mermaid allowing embedded images, which could lead to the disclosure of sensitive information...
pentest-automation-suite
Penetration Testing Automation Tools 🔴 Automated Penetratio...
Daniel Miessler on the AI Attack/Defense Balance
His conclusion: Context wins Basically whoever can see the most about the target, and can hold that picture in their mind the best, will be best at finding the vulnerabilities the fastest and taking advantage of them. Or, as the defender, applying patches or mitigations the fastest. And if you’re...
Rancher 数据伪造问题漏洞
Rancher is an open source container management platform from the US-based Rancher Open Source, built for organizations deploying containers in production environments. Rancher suffers from a Data Forgery Issue vulnerability that stems from a flaw in the SAML authentication protocol that could lea...
Adaptive Deception Framework with Behavioral Analysis for Enhanced Cybersecurity Defense
This paper presents CADL Cognitive-Adaptive Deception Layer, an adaptive deception framework achieving 99.88% detection rate with 0.13% false positive rate on the CICIDS2017 dataset. The framework employs ensemble machine learning Random Forest, XGBoost, Neural Networks combined with behavioral...