AI-powered vulnerability research is contributing to a major increase in security updates, raising concerns that IT teams could fall behind as patching demands grow, according to cybersecurity...

CVE-2024-30225 vulnerability in wp-migrate-db-pro WordPress plugin. Proof of concept, ModSecurity rule, and patched version analysis by Atomic Edge.

CVE-2025-52823 vulnerability in cubeportfolio WordPress plugin. Proof of concept, ModSecurity rule, and patched version analysis by Atomic Edge.

CVE-2024-34444 vulnerability in revslider WordPress plugin. Proof of concept, ModSecurity rule, and patched version analysis by Atomic Edge.

CVE-2024-32555 vulnerability in easy-real-estate WordPress plugin. Proof of concept, ModSecurity rule, and patched version analysis by Atomic Edge.

CVE-2023-52215 vulnerability in barcode-scanner-lite-pos-to-manage-products-inventory-and-orders WordPress plugin. Proof of concept, ModSecurity rule, and patched version analysis by Atomic Edge.

CVE-2023-52221 vulnerability in barcode-scanner-lite-pos-to-manage-products-inventory-and-orders WordPress plugin. Proof of concept, ModSecurity rule, and patched version analysis by Atomic Edge.

OrcaRouter's OrcaCyber Zero 1.5 is a gated 1M-context cybersecurity model scoring 100% on Cybench, 95.8% on CVE-Bench subset.

CVE-2025-39399 vulnerability in license-envato WordPress plugin. Proof of concept, ModSecurity rule, and patched version analysis by Atomic Edge.

CVE-2023-41954 vulnerability in wp-user-avatar WordPress plugin. Proof of concept, ModSecurity rule, and patched version analysis by Atomic Edge.

CVE-2023-44150 vulnerability in wp-user-avatar WordPress plugin. Proof of concept, ModSecurity rule, and patched version analysis by Atomic Edge.

CVE-2024-11083 vulnerability in wp-user-avatar WordPress plugin. Proof of concept, ModSecurity rule, and patched version analysis by Atomic Edge.

We found three cases where a Claude model reached the internet from an evaluation environment and accessed real systems. We share what happened and what we're changing.

CVE-2025-8878 vulnerability in wp-user-avatar WordPress plugin. Proof of concept, ModSecurity rule, and patched version analysis by Atomic Edge.

Linux kernel vulnerabilities are critical to downstream systems. Despite extensive research on automated kernel exploitation, a fundamental challenge remains the conceptual gap between abstract exploit strategies and concrete technical operations. To fill this gap, this paper introduces a systematic characterization that formalizes six classes of exploit primitives from logical capability to validatable effect. Then, an extended exploit strategy representation is proposed, which couples primitive upgrading strategies with primitive path code synthesis rules governing object constraints, temporal sequencing, environment prerequisites, and validation constraints. Building upon this foundation, this paper presents \textsc{PrimSynth}, a multi-agent framework that encapsulates these representations through coordinated agents to discover, validate, and synthesize exploit primitives for memory corruption vulnerabilities in the Linux kernel. These agents operate in an iterative closed loop until valid primitives are found, leveraging validation signals as evidence of exploitable state transitions to ground primitive synthesis decisions. An automated method for extracting and validating primitives is also proposed based on vulnerability-directed execution and a rebootable validation environment. \textsc{PrimSynth} is evaluated on 16 real-world Linux kernel CVEs spanning 5 vulnerability types. Experimental results show that PrimSynth achieves reliable primitive extraction, maintaining a 100% primitive match rate. For primitive synthesis, PrimSynth successfully synthesizes multi-primitive exploitation chains with 82.4% strategy synthesis rate (SSR) when the public PoC is available and a 61.3% SSR without the guidance of primitive hypotheses.