Apache HugeGraph-Server Command Execution In Gremlin(CVE-2024-27348)
CVE-2024-27348
Apache HugeGraph-Server Command Execution In Gremlin(CVE-2024-27348)
今日共收录 1050 条安全情报,包含 258 个 CVE,457 篇安全通告,以及 29 篇研究论文。
← 返回归档列表CVE-2024-27348
Apache HugeGraph-Server Command Execution In Gremlin(CVE-2024-27348)
CVE-2024-22120
Zabbix 后台延时注入(CVE-2024-22120)
CVE-2024-4040
CrushFTP 认证绕过漏洞(CVE-2024-4040)
CVE-2023-40267
### Summary `_clone()` validates `multi_options` as the original list, then executes `shlex.split(" ".join(multi_option
CVE-2025-54881
### Impact `@excalidraw/excalidraw@0.18.0` depends on a Mermaid conversion package version that resolves to a Mermaid r
CVE-2026-32595
## Summary There is a timing side-channel vulnerability in Traefik's BasicAuth middleware that allows an attacker to en
CVE-2026-21992
Alert for CVE-2026-21992
CVE-2025-61884
Alert for CVE-2025-61884
CVE-2025-61882
Alert for CVE-2025-61882
CVE-2024-21287
Alert for CVE-2024-21287
CVE-2022-21500
Alert for CVE-2022-21500
CVE-2021-44228
Alert for CVE-2021-44228
大型语言模型在运行时可能表现出各种异常行为,例如训练时注入的后门在触发词下被激活、越狱攻击绕过安全对齐、提示注入覆盖部署者指令。现有的运行时防御通常针对单一威胁,且依赖干净参考模型、触发知识或可编辑权重,这些假设对不透明的第三方模型往往不成
该论文针对大型语言模型(LLM)在多智能体系统(MAS)中集成所带来的安全挑战,提出了一种名为Gammaf(Graph-based Anomaly Monitoring for LLM Multi-Agent systems Framewo
大型语言模型(LLM)的微调能够使其适应特定应用,但高昂的计算成本使得资源受限的组织难以独立完成。云平台可以提供所需资源,但数据隐私问题使得将敏感信息共享给第三方存在风险。分割学习(Split Learning)作为一种有前景的解决方案,将
该论文针对审计专有数据语义属性时的隐私与透明矛盾,提出了一种名为“Agentic Witnessing”的框架。传统方法如零知识证明(ZKP)适用于精确代数约束,但难以验证定性、非结构化属性(如代码库中的逻辑)。该框架将验证从可证明执行扩展
Industrial Control Systems (ICS) integrate computing, physical processes, and communication to operate critical infrastr
CVE-2026-41371
OpenClaw before 2026.3.28 contains a privilege escalation vulnerability in chat.send that allows write-scoped gateway ca
CVE-2026-40557
Improper Certificate Validation via Global SSL Context Downgrade in Apache Storm Prometheus Reporter Versions Affected
CVE-2026-7113
A vulnerability was found in NousResearch hermes-agent 0.8.0. Affected by this issue is some unknown functionality of th