Runtime Security

SourcesThis work starts from Liang, Li, and Yu's 2024 paper, Universal and Context-Independent Triggers for Precise Control of LLM Outputs, and the Agent RCE demonstration that Tencent's Xuanwu Lab presented at Black Hat USA 2025. The GCG and earlier UAT lineages come from Zou et al. 2023 and Wallace et al. 2019, respectively. ScopeThis is an original reproduction and extension, not an official interpretation by the paper's authors or Xuanwu Lab. The paper introduced precise UAT and its original evaluation. This article adds Qwen3.6-27B and Qwen3.8-27B, six task frames, two payload levels, three search routes, and ablation experiments. Results such as 0%, 50%, 83%, and 100% come from my experiments and apply only to the models, harness, decoding settings, and sample sizes stated below. ...

Reverse-Engineering Claude Code Auto Mode: The 64-Token Security Gate Before Every Tool Call Claude Code’s auto mode became the default for Pro, Max, and Team sessions on August 14. I wanted to know what actually stops an agent from doing something dangerous. Anthropic has docs and an engineering blog. The architecture is public: an input-side injection probe, an output-side classifier, three tiers of routing. The metrics are public too: 0.4% false-positive rate on real traffic, 17% false-negative on overeager actions, 5.7% on exfiltration. There’s even a CLI — claude auto-mode defaults — to inspect the built-in rules. ...

Lately I’ve been doing more and more AI red teaming: half the time thinking about how to attack Agents, and the other half thinking about: once the attacks are done, what should real-world defense actually look like? I’ve written a local-first Agent Runtime Guard (ARG) myself, and I’ve also taken apart Microsoft’s newly open-sourced Agent Governance Toolkit (AGT). After taking both apart, the conclusion is actually quite clear: Agent runtime protection is, in essence, the “firewall” of the LLM era. Whenever I mention “firewall”—a word that has been beaten to death—I want to laugh. Still, this is decidedly not another layer of prompt rhetoric, nor is it old IAM renamed. What it intercepts is the segment where “the model’s intent has already formed, but the side effects haven’t happened yet”—the command hasn’t been exec’d, the keys haven’t been read, the email hasn’t been sent, no HTTP has left the network. ...

::::info http://www.testmyids.com/ :::: To determine whether an internal network intrusion detection system (IDS) is running properly and effectively detecting potential threats in network traffic, you can take a hands-on approach to verify its functionality. A well-known resource frequently used for this kind of testing is http://www.testmyids.com/ This website is designed for security professionals, aiming to help them assess whether their IDS can accurately identify and raise alerts on potentially malicious activity or non-compliant network requests. ...

1. Attack Characteristics of the Vulnerability The root cause of this vulnerability is the deserialization of untrusted user input, which involves a hardcoded key. An attacker can leverage deserialization gadgets already present on the target machine to perform malicious operations. The traffic characteristics of normal versus malicious requests are described below. A normal login request. Request execution length: 1121 Response Status code: 200 Response length: 7287 Malicious exploitation - no response echo Request ...