Builder.io Gen2 SDKs through versions 5.2.11 and 0.25.13 contain a prototype pollution...
CVE-2026-92781
Builder.io Gen2 SDKs through versions 5.2.11 and 0.25.13 contain a prototype pollution vulnerability in the unflatten he
今日共收录 2425 条安全情报,包含 1381 个 CVE,651 篇安全通告,以及 100 篇研究论文。
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Builder.io Gen2 SDKs through versions 5.2.11 and 0.25.13 contain a prototype pollution vulnerability in the unflatten he
CVE-2026-92780
KnowStreaming through 3.4.1 fails to enforce role-based access control on REST API endpoints, allowing any authenticated
CVE-2026-92775
Wiki.js through 2.5.314 contains a server-side request forgery vulnerability in the Image Prefetch renderer that fetches
CVE-2026-92763
Rundeck through 6.2.1 fails to properly authorize the importConfig and importNodesSources parameters in the project arch
CVE-2026-92761
WebVirtCloud fails to properly validate permission flags in UserInstance grants, allowing view-only users to perform pri
CVE-2026-76450
A vulnerability in Cisco Identity Services Engine (ISE) and Cisco ISE Passive Identity Connector (ISE-PIC) could allow a
CVE-2026-61593
### Impact The SSE client→server POST endpoints are `@csrf_exempt` and the SSE GET stream endpoint had no Origin check,
CVE-2025-59953
### Description The LMdeploy implements an rpc server (AsyncRPCServer in zmq_rpc.py) for supporting the RPC communicati
CVE-2026-61560
### Summary The SSE transport mode (`SSE=true`) exposes all MCP tools without any authentication. The `upload_markdown`
CVE-2026-61559
# Server-Side Request Forgery via X-GitLab-API-URL Header Allows Credential Theft ## Affected - **Repository:** `zerei
CVE-2026-88975
### Summary An unauthenticated peer can make Ember's HTTP/2 read loop hold 16 MiB of a single frame in memory on a conne
论文提出 RuleAutoPilot,一个端到端的智能体(agentic)框架,可直接从恶意软件网络流量(PCAP)中合成可部署的 Suricata 检测规则,且不依赖任何事先准备好的威胁情报。研究背景是:以 Suricata 为代表的基于
该论文研究的是网络边缘场景下自适应安全(adaptive security)所面临的一类新型信任边界问题。随着边缘网络的安全决策越来越依赖自动化规划器(planner),包括基于规则的控制器、通过机器学习得到的策略,以及近期出现的 LLM
该论文针对「AI 驱动的自动化渗透测试成本过高」这一现实问题提出 PentestChain 框架。作者指出,虽然 GPT-4 等前沿商用模型已被证明可执行自动化渗透测试,但按次计费的 token 成本使持续、自动化测试对预算有限的中小组织而
本文研究检索增强生成(RAG)系统的语料投毒威胁。RAG 通过引入外部知识提升大语言模型(LLM)的事实性与时效性,但已有研究证明其知识库可被投毒。现有攻击大多属于“单点显式注入”范式:完整的恶意载荷被封装在单篇文档内,语义上可被识别,因此
CVE-2026-89990
该漏洞位于 Linux 内核的 Ceph 文件系统客户端代码中,具体函数为 ceph_mds_check_access()。Ceph 客户端在 MDS 会话被重新打开(session OPEN)时,会在持有 mdsc->mutex 的前提下
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