CVE-2025-52473

CVE-2025-52473 affects the liboqs HQC KEM reference implementation. When compiled with Clang at optimization levels above -O0, the code contains secret-dependent branches that enable a proof-of-concept local attack to recover the entire secret key. The vulnerability is fixed in version 0.14.0. Im...

CVE-2025-26636

Processor optimization removal or modification of security-critical code in Windows Kernel allows an authorized attacker to disclose information locally...

Defending against Prompt Injection with a Few DefensiveTokens

When large language model LLM systems interact with external data to perform complex tasks, a new attack, namely prompt injection, becomes a significant threat. By injecting instructions into the data accessed by the system, the attacker is able to override the initial user task with an arbitrary...

liboqs -- Secret-dependent branching in HQC

The OpenQuantumSafe project reports: Secret-dependent branching in HQC reference implementation when compiled with Clang 17-20 for optimizations above -O0...

CVE-2025-26636

Processor optimization removal or modification of security-critical code in Windows Kernel allows an authorized attacker to disclose information locally...

CVE-2025-48810

CVE-2025-48810 : Windows Secure Kernel Mode information disclosure via processor optimization/removal or modification of security-critical code. Affects Windows Secure Kernel Mode; CVE entry indicates local (L) access, with low privileges required and no user interaction, and a base score of 5.5 ...

CVE-2025-48809

CVE-2025-48809 corresponds to a Windows Secure Kernel Mode information disclosure vulnerability in the Windows kernel. Publicly cited description states that a processor optimization removal or modification of security-critical code in the Windows Kernel can allow an authorized local attacker to ...

CVE-2025-26636

CVE-2025-26636 is a Windows Kernel information-disclosure vulnerability caused by processor optimization that removes or modifies security-sensitive code, enabling an authorized local attacker to disclose information. Connected sources confirm the issue affects Windows Kernel components and is ad...

Windows Secure Kernel Mode Information Disclosure Vulnerability

Processor optimization removal or modification of security-critical code in Windows Kernel allows an authorized attacker to disclose information locally...

OSV-2025-534 Heap-use-after-free in ih264_inter_pred_luma_horz_ssse3

OSS-Fuzz report: https://bugs.chromium.org/p/oss-fuzz/issues/detail?id=428771938 Crash type: Heap-use-after-free READ 16 Crash state: ih264interpredlumahorzssse3 ih264dmotioncompensatemp isvcddecoderecontfrnmbnonbaselyr...

PT-2025-28541 · Microsoft · Windows Kernel +1

Name of the Vulnerable Software and Affected Versions: Windows Kernel affected versions not specified Description: The issue allows an authorized attacker to disclose information locally by removing or modifying security-critical code in the Windows Kernel through processor optimization...

PT-2025-28505 · Microsoft · Windows Kernel +1

Name of the Vulnerable Software and Affected Versions: Windows Kernel affected versions not specified Description: The issue allows an authorized attacker to disclose information locally by removing or modifying security-critical code in the Windows Kernel through processor optimization...

LIFT: Automating Symbolic Execution Optimization with Large Language Models for AI Networks

Dynamic Symbolic Execution DSE is a key technique in program analysis, widely used in software testing, vulnerability discovery, and formal verification. In distributed AI systems, DSE plays a crucial role in identifying hard-to-detect bugs, especially those arising from complex network...

Compiler Optimization Removal or Modification of Security-critical Code

Overview Affected versions of this package are vulnerable to Compiler Optimization Removal or Modification of Security-critical Code due to a race condition in AESNI detection when certain compiler optimizations are applied. An attacker can extract sensitive cryptographic keys or perform...

LoRAShield: Data-Free Editing Alignment for Secure Personalized LoRA Sharing

The proliferation of Low-Rank Adaptation LoRA models has democratized personalized text-to-image generation, enabling users to share lightweight models e.g., personal portraits on platforms like Civitai and Liblib. However, this "share-and-play" ecosystem introduces critical risks: benign LoRAs c...

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning

Federated Learning FL has emerged as a leading paradigm for privacy-preserving distributed machine learning, yet the distributed nature of FL introduces unique security challenges, notably the threat of backdoor attacks. Existing backdoor strategies predominantly rely on end-to-end label...

[SECURITY] Fedora 42 Update: optipng-7.9.1-1.fc42

OptiPNG is a PNG optimizer that recompresses image files to a smaller size, without losing any information. This program also converts external formats BMP, GIF, PNM and TIFF to optimized PNG, and performs PNG integrity checks and corrections...

How AI-Enabled Workflow Automation Can Help SOCs Reduce Burnout

It sure is a hard time to be a SOC analyst. Every day, they are expected to solve high-consequence problems with half the data and twice the pressure. Analysts are overwhelmed—not just by threats, but by the systems and processes in place that are meant to help them respond. Tooling is fragmented...

Security Assessment of DeepSeek and GPT Series Models against Jailbreak Attacks

The widespread deployment of large language models LLMs has raised critical concerns over their vulnerability to jailbreak attacks, i.e., adversarial prompts that bypass alignment mechanisms and elicit harmful or policy-violating outputs. While proprietary models like GPT-4 have undergone extensi...

Cut Tracing with E-Graphs for Boolean FHE Circuit Synthesis

Fully Homomorphic Encryption FHE is a promising privacy-preserving technology enabling secure computation over encrypted data. A major limitation of current FHE schemes is their high runtime overhead. As a result, automatic optimization of circuits describing FHE computation has garnered...