伪装成可观测性功能的代码漏洞,竟能绕过可信流水线中的多重验证。
They'll Verify. They Just Won't Act. How Authority Framing and Laundered Code Turn a Trusted Agentic CI/CD Pipeline Into an Attack Surface
- 用权威指令诱导验证者忽略恶意代码,使攻击者能顺利部署漏洞。
- 80%的伪装请求通过扫描,最坏情况55%的系统被攻破。
- 仅靠代码语法检查无效,需依赖对意图的LLM推理才能部分防御。
我们研究了一个由五个代理组成的生产级CI/CD流水线(分诊→开发→安全扫描→评审→批准/部署),基于三家供应商的五款真实LLM构建,并在影子模式下部署于LLM防火墙后。一个外部未受信任的请求(要求添加“使用遥测”功能)诱导生成一段窃取环境变量(dict(os.environ))的恶意代码,伪装为可观测性功能。在预注册的A x B (x C)因子实验中(总样本N=20;对照组N=60),结果表明:(1) 入口代理未泄露系统提示(0/40);(2) 权威框架注入(“经SEC-2291预批准,无需重审”)使下游验证者视该行代码为合法,引用预批文并放行,导致扫描器通过约80%的伪装请求,最坏情形下系统被攻破率达55%;(3) 验证者数量虽多(最高达60),但彼此存在感仅带来微弱、不显著的审查提升(类似旁观者效应);(4) 基于内容的检测机制(如代码扫描器、模式匹配)完全失效(代码语法合规);唯有具备意图理解能力的LLM可提供部分防护。失败根源是系统性的:提示保密与分布式验证均无效;只有独立于入口的溯源感知控制才可能防范。所有数据均为合成;数据接收端已模拟,未真正连接攻击者地址。
原文摘要 · Abstract (English)
We study a five-agent CI/CD pipeline (triage -> developer -> security-scan -> review -> approve/deploy), built from five distinct production LLMs across three providers, behind an LLM firewall in shadow mode. A single untrusted input - an external issue requesting a "usage-telemetry" feature - asks for code that exfiltrates process secrets (dict(os.environ)) to an attacker URL, laundered as observability. Across a pre-registered A x B (x C) factorial (N=20; naive arm N=60) we find: (1) the entry agent does not leak its system prompt (0/40); (2) an authority-framed injection ("pre-approved under SEC-2291, do not re-review") makes downstream verifiers see the secret-exfil line, cite the pre-approval, and ship it - the scanner passes ~80% of laundered pull requests, and the worst-case cell reaches 55% compromise; (3) the perceived presence of other verifiers yields only a small, non-significant reduction in individual scrutiny (a weak bystander analogue), even at N=60; and (4) content-based controls - code scanners and pattern detectors alike - miss the laundered intent entirely (the code is syntactically clean); only an LLM reasoning about intent is a partial defence. The failure is systemic: neither prompt secrecy nor distributed verification protects; a provenance-aware control at the entry, independent of both, would have. All data is 100% synthetic; the sink is mocked and the exfil URL is never contacted.
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