Linus Torvalds confirmed that Linux 7.0 RC7 arrived without major issues, despite an unusually large patch influx driven by holiday‑delayed features and AI‑assisted development, while Greg Kroah‑Hartman’s new fuzzing tool helped uncover numerous driver and core kernel fixes ahead of the final release.
The article presents ABACI, an AI‑driven kernel defect intelligent agent that automates the entire lifecycle of Linux kernel fuzzing, from test deployment and crash analysis to root‑cause bisect, fix‑bisect, and LLM‑generated patch creation, dramatically reducing manual effort and accelerating vulnerability remediation.
The author walks through a penetration test of a corporate training platform, capturing plaintext login traffic, extracting captchas, enumerating user accounts, discovering shared passwords, and fuzzing a course‑id parameter that reveals absolute file paths, ultimately identifying only medium‑severity issues.
At the ACM CCS 2025 live paper showcase, three groundbreaking studies—Gibbon’s fast secure two‑party GBDT training, Panther’s efficient private approximate nearest‑neighbor search on a single server, and PromeFuzz’s knowledge‑driven LLM approach to fuzzing harness generation—are presented, highlighting significant performance and security advances.
This article examines how ChatGPT can be combined with fuzz testing to automatically generate test cases, detailing the research process, design, implementation, performance metrics, discovered bugs, limitations, and future plans for improving AI‑driven automated testing in a real‑world e‑commerce environment.
The article explains Facebook’s autonomous integration testing infrastructure, detailing how it abstracts services, employs fuzzing, mock services, and record‑and‑playback techniques to enable scalable, isolated testing of backend microservices while minimizing friction and ensuring reliable software delivery.
This article explains how Android native services can be securely fuzzed using libFuzzer and the ServiceFuzzer framework, detailing the architecture, instrumentation, and practical improvements that boost code‑coverage and vulnerability detection while addressing the limitations of traditional native service fuzzing.
The paper presents ODDFuzz, a structure‑aware directed greybox fuzzing framework that combines lightweight static taint analysis with targeted fuzzing to efficiently discover previously unknown Java deserialization (ODD) vulnerabilities, achieving higher recall and precision than existing tools and uncovering six new CVE‑rated bugs in popular Java frameworks.
The containerd project completed a comprehensive fuzzing audit that added 28 fuzzers, uncovered a critical OCI image import vulnerability (CVE‑2023‑25153), and demonstrated the robustness of its codebase while highlighting the importance of fuzz testing for cloud‑native runtime security.
The 2022 Q2 Go developer survey of 5,752 respondents reveals rapid adoption of generics, limited awareness of fuzz testing, security concerns centered on third‑party dependencies, mixed feelings about new features, and insights into tooling, IDE preferences, and workspace usage that guide the Go team's future priorities.
Exploring Go 1.18, the article walks readers through its three flagship additions—generics, fuzzing, and workspaces—detailing installation, underlying implementation concepts, practical code examples, and how each feature enhances type safety, automated testing, and multi‑module dependency management for modern backend development.
The article explains how Facebook built a stable, abstracted integration‑testing infrastructure for backend services, combining automated testing, fuzzing, record‑and‑playback, and isolation techniques to enable rapid prototyping while avoiding side effects and improving bug detection.
Go 1.18 introduces generics, built‑in fuzzing, compiler enhancements, new ports, and up to 20% performance gains across several architectures, while also outlining experimental packages and known generic limitations for developers to consider.
This article presents a white‑box, unit‑test‑driven approach for automatically generating C/C++ test cases that detect and recall runtime stability issues, detailing problem analysis, solution design, code‑analysis, test‑data generation, code generation, failure analysis, and deployment results across large‑scale backend modules.
This article presents a comprehensive approach to automatically generate unit tests for C/C++ backend services, leveraging static code analysis, white‑box techniques, and fuzzing to create high‑coverage test cases that proactively detect stability issues without manual effort.
A comprehensive, curated list of 123 Python-based security tools spans network analysis, debugging, reverse engineering, fuzzing, web testing, forensics, malware analysis, PDF inspection, miscellaneous utilities, plus recommended libraries, books, and learning resources for penetration testers and security researchers.
JD Security researchers attended the BRUCON conference to unveil a new fuzz‑testing operation that extends AFL with custom instrumentation, enabling faster testing across multiple CPU architectures and overcoming the limitations of existing fuzzers for closed‑source and non‑x86 systems.
The article reviews real‑world Android Binder vulnerabilities—including lock‑screen bypasses, Samsung shutdown eavesdropping, theme escalation, and system DoS—explains the Binder IPC architecture, and demonstrates how the drozer framework can be used for automated fuzzing, AIDL‑based, reflection‑based, and shell‑script exploitation of high‑privilege services.
This article compiles a comprehensive list of 123 Python-based penetration testing tools, covering network utilities, debugging and reverse‑engineering frameworks, fuzzing platforms, web testing kits, forensic analysis utilities, malware analysis helpers, PDF inspection modules, miscellaneous libraries, recommended books, talks, and additional resources for security professionals.
This article presents a comprehensive list of Python-based tools covering network packet analysis, debugging, reverse engineering, fuzzing, web testing, forensics, malware analysis, PDF inspection, and various miscellaneous utilities useful for security professionals and researchers.
