SUSE CVE-2026-5273

Use after free in CSS in Google Chrome prior to 146.0.7680.178 allowed a remote attacker to execute arbitrary code inside a sandbox via a crafted HTML page. Chromium security severity: High...

SEPPmail Secure Email Gateway 安全漏洞

SEPPmail Secure Email Gateway is an email security gateway developed by the German company SEPPmail. Versions of SEPPmail Secure Email Gateway prior to version 15.0.3 contained security vulnerabilities. These vulnerabilities stemmed from a flaw that allowed attackers to inject HTML into new CA...

RuleForge: Automated Generation and Validation for Web Vulnerability Detection at Scale

Security teams face a challenge: the volume of newly disclosed Common Vulnerabilities and Exposures CVEs far exceeds the capacity to manually develop detection mechanisms. In 2025, the National Vulnerability Database published over 48,000 new vulnerabilities, motivating the need for automation. W...

MB Connect Line mbCONNECT24 SQL注入漏洞

MB Connect Line mbCONNECT24 is a remote service portal developed by the German company MB Connect Line. This product supports functions such as remote access, data recording, and alarm notifications. MB Connect Line mbCONNECT24 has a SQL injection vulnerability, which stems from improper handling...

PT-2026-38110

Name of the Vulnerable Software and Affected Versions Google Chrome versions prior to 148.0.7778.96 Description A use after free issue in Fullscreen on Windows allows a remote attacker who has compromised the renderer process to potentially perform a sandbox escape via a crafted HTML page. Use...

PT-2026-29682

Name of the Vulnerable Software and Affected Versions AlejandroArciniegas mcp-data-vis affected versions not specified Description A SQL injection issue exists in the Request function within the src/servers/database/server.js file of the MCP Handler component. This manipulation can be initiated...

PT-2026-38113

Name of the Vulnerable Software and Affected Versions Google Chrome versions prior to 148.0.7778.96 Description A use after free issue in Skia allows a remote attacker who has compromised the renderer process to potentially perform a sandbox escape via a crafted HTML page. Use after free is a...

Seclens: Role-Specific Evaluation of LLM'S for Security Vulnerablity Detection

Existing benchmarks for LLM-based vulnerability detection compress model performance into a single metric, which fails to reflect the distinct priorities of different stakeholders. For example, a CISO may emphasize high recall of critical vulnerabilities, an engineering leader may prioritize...

PT-2026-29882

Name of the Vulnerable Software and Affected Versions OneUptime versions prior to 10.0.42 Description OneUptime, an open-source monitoring and observability platform, had a flaw in its SAML SSO implementation located in App/FeatureSet/Identity/Utils/SSO.ts. The issue stemmed from a separation...

PT-2026-29954

Fleet's Apple MDM profile delivery has second-order SQL Injection that can compromise the database in github.com/fleetdm/fleet...

Automated Malware Family Classification Using Weighted Hierarchical Ensembles of Large Language Models

Malware family classification remains a challenging task in automated malware analysis, particularly in real-world settings characterized by obfuscation, packing, and rapidly evolving threats. Existing machine learning and deep learning approaches typically depend on labeled datasets, handcrafted...

AgentWatcher: A Rule-Based Prompt Injection Monitor

Large language models LLMs and their applications, such as agents, are highly vulnerable to prompt injection attacks. State-of-the-art prompt injection detection methods have the following limitations: 1 their effectiveness degrades significantly as context length increases, and 2 they lack...

Zabbix 7.0.x < 7.0.22 / 7.2.x < 7.2.15 / 7.4.x < 7.4.6 Multiple Vulnerabilities (ZBX-27639)

The version of Zabbix Server installed on the remote host is prior to 7.0.22, 7.2.15, 7.4.6. It is, therefore, affected by multiple vulnerabilities : - A blind SQL injection vulnerability exists in the Zabbix API via the sortfield parameter in include/classes/api/CApiService.php. A low privilege...

PT-2026-29877

Name of the Vulnerable Software and Affected Versions vLLM versions 0.5.5 through 0.17.999 Description vLLM, an inference and serving engine for large language models LLMs, exhibits an inconsistency in audio processing. Versions 0.5.5 through 0.17.999 utilize numpy.mean for mono downmixing via...

Vanna 安全漏洞

Vanna is a personalized AI SQL proxy from Vanna Corporation. Versions of vanna 2.0.2 and earlier contained security vulnerabilities. These vulnerabilities were caused by overly lax cross-domain policies implemented in the FastAPI/Flask Server component, which could lead to remote attacks...

vLLM 输入验证错误漏洞

vLLM is an open-source LLM-based inference and service engine that features high throughput and efficient memory usage. Versions of vLLM prior to 0.5.5 and 0.18.0 contained a vulnerability related to input validation errors. This vulnerability stemmed from inconsistencies in the audio mono downmi...

MB Connect Line mbCONNECT24 SQL注入漏洞

MB Connect Line mbCONNECT24 is a remote service portal developed by the German company MB Connect Line. This product supports features such as remote access, data recording, and alarm notifications. MB Connect Line mbCONNECT24 has a SQL injection vulnerability, which stems from improper handling ...

goshs 安全漏洞

Goshs is a simple HTTP server developed by Patrick Hener using Go language. Versions of Goshs from 1.1.0 to 2.0.0-beta.2 contained security vulnerabilities. These vulnerabilities stemmed from the use of shared tokens, which could bypass the limited file download restrictions, allowing access to a...

PT-2026-33152

Name of the Vulnerable Software and Affected Versions Google Chrome versions prior to 147.0.7727.101 Description An out of bounds write in the GPU allows a remote attacker who has compromised the GPU process to potentially perform a sandbox escape via a crafted HTML page. An out of bounds write...

Combating Data Laundering in LLM Training

Data rights owners can detect unauthorized data use in large language model LLM training by querying with proprietary samples. Often, superior performance e.g., higher confidence or lower loss on a sample relative to the untrained data implies it was part of the training corpus, as LLMs tend to...