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◬ AI & Machine Learning Apr 23, 2026
TLSCheck 2.0: An Enhanced Memory Forensics Approach to Efficiently Detect TLS Callbacks

arXiv:2604.20378v1 Announce Type: new Abstract: Memory analysis is a crucial technique in digital forensics that enables investigators to examine the runtime state of a system through physical memory …

arXiv Security Read →
◬ AI & Machine Learning Apr 23, 2026
Text Steganography with Dynamic Codebook and Multimodal Large Language Model

arXiv:2604.20269v1 Announce Type: new Abstract: With the popularity of the large language models (LLMs), text steganography has achieved remarkable performance. However, existing methods still have so…

arXiv Security Read →
◬ AI & Machine Learning Apr 23, 2026
TL-RL-FusionNet: An Adaptive and Efficient Reinforcement Learning-Driven Transfer Learning Framework for Detecting Evolving Ransomware Threats

arXiv:2604.20260v1 Announce Type: new Abstract: Modern ransomware exhibits polymorphic and evasive behaviors by frequently modifying execution patterns to evade detection. This dynamic nature disrupts…

arXiv Security Read →
◬ AI & Machine Learning Apr 23, 2026
Taint-Style Vulnerability Detection and Confirmation for Node.js Packages Using LLM Agent Reasoning

arXiv:2604.20179v1 Announce Type: new Abstract: The rapidly evolving Node$.$js ecosystem currently includes millions of packages and is a critical part of modern software supply chains, making vulnera…

arXiv Security Read →
◬ AI & Machine Learning Apr 23, 2026
AgentSOC: A Multi-Layer Agentic AI Framework for Security Operations Automation

arXiv:2604.20134v1 Announce Type: new Abstract: Security Operations Centers (SOCs) increasingly encounter difficulties in correlating heterogeneous alerts, interpreting multi-stage attack progressions…

arXiv Security Read →
◬ AI & Machine Learning Apr 23, 2026
Potentials and Pitfalls of Applying Federated Learning in Hardware Assurance

arXiv:2604.20020v1 Announce Type: new Abstract: As microelectronics flourish and outsourcing of the design and manufacturing stages of integrated circuits (ICs) and printed circuit boards (PCBs) becom…

arXiv Security Read →
◬ AI & Machine Learning Apr 23, 2026
DECIFR: Domain-Aware Exfiltration of Circuit Information from Federated Gradient Reconstruction

arXiv:2604.19915v1 Announce Type: new Abstract: Federated Learning (FL) is a promising approach for multiparty collaboration as a privacy-preserving technique in hardware assurance, but its security a…

arXiv Security Read →
◬ AI & Machine Learning Apr 23, 2026
A Data-Free Membership Inference Attack on Federated Learning in Hardware Assurance

arXiv:2604.19891v1 Announce Type: new Abstract: Federated Learning (FL) is an emerging solution to the data scarcity problem for training deep learning models in hardware assurance. While FL is design…

arXiv Security Read →
◬ AI & Machine Learning Apr 23, 2026
Efficient Arithmetic-and-Comparison Homomorphic Encryption with Space Switching

arXiv:2604.19890v1 Announce Type: new Abstract: Fully homomorphic encryption (FHE) enables computation on encrypted data without decryption, making it central to privacy-preserving applications. Howev…

arXiv Security Read →
✉ Email Security Apr 23, 2026
Disruption targets Tycoon 2FA, popular AiTM PhaaS - Proofpoint

Disruption targets Tycoon 2FA, popular AiTM PhaaS Proofpoint

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◇ Industry News & Leadership Apr 23, 2026
Stryker restores most manufacturing after cyberattack - Cybersecurity Dive

Stryker restores most manufacturing after cyberattack Cybersecurity Dive

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◬ AI & Machine Learning Apr 23, 2026
Introducing mrva, a terminal-first approach to CodeQL multi-repo variant analysis

In 2023 GitHub introduced CodeQL multi-repository variant analysis (MRVA). This functionality lets you run queries across thousands of projects using pre-built databases and drastically reduces the ti…

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◬ AI & Machine Learning Apr 23, 2026
Catching malicious package releases using a transparency log

We’re getting Sigstore’s rekor-monitor ready for production use, making it easier for developers to detect tampering and unauthorized uses of their identities in the Rekor transparency log. This work,…

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◬ AI & Machine Learning Apr 23, 2026
Use GWP-ASan to detect exploits in production environments

Memory safety bugs like use-after-free and buffer overflows remain among the most exploited vulnerability classes in production software. While AddressSanitizer (ASan) excels at catching these bugs du…

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◬ AI & Machine Learning Apr 23, 2026
Can chatbots craft correct code?

I recently attended the AI Engineer Code Summit in New York, an invite-only gathering of AI leaders and engineers. One theme emerged repeatedly in conversations with attendees building with AI: the be…

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◬ AI & Machine Learning Apr 23, 2026
Detect Go’s silent arithmetic bugs with go-panikint

Go’s arithmetic operations on standard integer types are silent by default, meaning overflows “wrap around” without panicking. This behavior has hidden an entire class of security vulnerabilities from…

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◬ AI & Machine Learning Apr 23, 2026
Lack of isolation in agentic browsers resurfaces old vulnerabilities

With browser-embedded AI agents, we’re essentially starting the security journey over again. We exploited a lack of isolation mechanisms in multiple agentic browsers to perform attacks ranging from th…

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◬ AI & Machine Learning Apr 23, 2026
Building cryptographic agility into Sigstore

Software signatures carry an invisible expiration date. The container image or firmware you sign today might be deployed for 20 years, but the cryptographic signature protecting it may become untrustw…

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◬ AI & Machine Learning Apr 23, 2026
Celebrating our 2025 open-source contributions

Last year, our engineers submitted over 375 pull requests that were merged into non–Trail of Bits repositories, touching more than 90 projects from cryptography libraries to the Rust compiler. This wo…

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◬ AI & Machine Learning Apr 23, 2026
Carelessness versus craftsmanship in cryptography

Two popular AES libraries, aes-js and pyaes, “helpfully” provide a default IV in their AES-CTR API, leading to a large number of key/IV reuse bugs. These bugs potentially affect thousands of downstrea…

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◬ AI & Machine Learning Apr 23, 2026
Using threat modeling and prompt injection to audit Comet

Before launching their Comet browser, Perplexity hired us to test the security of their AI-powered browsing features. Using adversarial testing guided by our TRAIL threat model, we demonstrated how fo…

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◬ AI & Machine Learning Apr 23, 2026
mquire: Linux memory forensics without external dependencies

If you’ve ever done Linux memory forensics, you know the frustration: without debug symbols that match the exact kernel version, you’re stuck. These symbols aren’t typically installed on production sy…

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◬ AI & Machine Learning Apr 23, 2026
Six mistakes in ERC-4337 smart accounts

Account abstraction transforms fixed “private key can do anything” models into programmable systems that enable batching, recovery and spending limits, and flexible gas payment. But that programmabili…

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◬ AI & Machine Learning Apr 23, 2026
Spotting issues in DeFi with dimensional analysis

Using dimensional analysis, you can categorically rule out a whole category of logic and arithmetic bugs that plague DeFi formulas. No code changes required, just better reasoning! One of the first le…

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