Label Studio through 1.23.0 Cross-Organization Storage URI Resolution
CVE-2026-85211
Label Studio fails to apply organization filters when resolving storage URIs for tasks and projects in proxy_api.py endp
今日共收录 1362 条安全情报,包含 399 个 CVE,552 篇安全通告,以及 120 篇研究论文。
← 返回归档列表CVE-2026-85211
Label Studio fails to apply organization filters when resolving storage URIs for tasks and projects in proxy_api.py endp
CVE-2026-85180
Ollama fails to validate redirect destinations when pulling tensor-layer models, allowing unauthenticated attackers to r
CVE-2026-85179
Label Studio through 1.23.0 fails to validate webhook URLs, allowing authenticated users to dispatch requests to interna
CVE-2026-85167
n8n before 2.35.4 and 2.36.x before 2.36.2 contain a query injection vulnerability in the Elasticsearch Document Get All
CVE-2026-85166
n8n before 2.35.4 and 2.36.x before 2.36.2 does not validate credential references in the inline workflow JSON of nodes
CVE-2026-80744
In the Linux kernel, the following vulnerability has been resolved: netfilter: nf_tables_offload: suppress WARN_ON_ONCE
CVE-2026-80734
In the Linux kernel, the following vulnerability has been resolved: btrfs: initialize inode mapping flags for cached in
CVE-2026-80726
In the Linux kernel, the following vulnerability has been resolved: KVM: x86/mmu: WARN and clear role.invalid when crea
CVE-2026-72800
**CVE:** This vulnerability corresponds to [CVE-2026-72800](https://nvd.nist.gov/vuln/detail/CVE-2026-72800). ### Summa
CVE-2026-72803
**CVE:** This vulnerability corresponds to [CVE-2026-72803](https://nvd.nist.gov/vuln/detail/CVE-2026-72803). ### Summa
CVE-2026-72812
**CVE:** This vulnerability corresponds to [CVE-2026-72812](https://nvd.nist.gov/vuln/detail/CVE-2026-72812). ### Summa
CVE-2026-77465
### Summary `toml.parse()` crashes with an uncaught `RangeError: Maximum call stack size exceeded` when parsing deeply
本文围绕自动化漏洞发现带来的安全态势变化展开论述,指出漏洞自动挖掘已消除了过去依赖专家注意力所形成的事实保护,而业界的应对集中在‘发现’和‘修复’两个环节,两者成本都在下降。作者认为,决定软件暴露面的并非这两条成本曲线,而是发布决策时的‘修
随着基于大语言模型(LLM)的AI智能体(agent)越来越多地以自主方式相互交互、协作和委派任务,传统安全边界被打破,攻击面显著扩大。行业指南(如OpenAI白皮书)强调用户必须对智能体全生命周期保持控制与监督,以避免恶意智能体造成损害。
本文提出了一种名为 ProtocolGuard 的新型漏洞检测框架,用于检测网络协议实现中的协议不合规(non-compliance)缺陷。这类缺陷通常源于开发者在实现协议规范时对状态转换、字段约束或时序逻辑的错误理解,可能导致安全问题或功
该论文提出了一种从协议规范文档(RFC)中自动提取有限状态机(FSM)的数据驱动方法,并将其应用于自动化攻击发现。网络协议的安全验证通常依赖攻击者合成或基于模型的模糊测试,但这些技术需要协议的正式表示,通常为FSM。然而,许多协议仅以英文散
该论文针对漏洞报告中软件受影响版本信息不完整的问题展开研究。作者指出,即使是由 MITRE/NIST 归档的漏洞报告,也常常缺少某些易受攻击的软件版本信息,导致使用这些未报告版本的用户面临风险。为此,他们提出了一种基于模糊测试(fuzzin
Firefox browsers
Sign in to Cloud
Sign Up for Free Cloud Tier