CVE-2025-64677 Office Out-of-Box Experience Spoofing Vulnerability

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Microsoft Office Out-of-Box Experience 跨站脚本漏洞

Microsoft Office Out-of-Box Experience is a user experience process software from Microsoft Corporation USA. A cross-site scripting vulnerability exists in Microsoft Office Out-of-Box Experience that stems from improper input neutralization and could lead to a network spoofing attack...

CVE-2025-64677: Improper Neutralization of Input During Web Page Generation

Improper neutralization of input during web page generation 'cross-site scripting' in Office Out-of-Box Experience allows an unauthorized attacker to perform spoofing over a network...

KLA90826 Multiple vulnerabilities in Microsoft Office

Multiple vulnerabilities were found in Microsoft Office. Malicious users can exploit these vulnerabilities to perform cross-site scripting attack, spoof user interface, gain privileges, execute arbitrary code. Below is a complete list of vulnerabilities: 1. A spoofing vulnerability in Office...

New ClickFix Attack Uses Fake Browser Fix to Install DarkGate Malware

Researchers at Point Wild have discovered a new ClickFix attack campaign that tricks users into manually installing DarkGate malware via fake browser extension alerts. Learn how this attack bypasses security by using the Windows Run box and how you can stay safe...

WuppieFuzz: Coverage-Guided, Stateful REST API Fuzzing

Many business processes currently depend on web services, often using REST APIs for communication. REST APIs expose web service functionality through endpoints, allowing easy client interaction over the Internet. To reduce the security risk resulting from exposed endpoints, thorough testing is...

Behavior-Aware and Generalizable Defense against Black-Box Adversarial Attacks for ML-Based IDS

Machine learning based intrusion detection systems are increasingly targeted by black box adversarial attacks, where attackers craft evasive inputs using indirect feedback such as binary outputs or behavioral signals like response time and resource usage. While several defenses have been proposed...

One Leak Away: How Pretrained Model Exposure Amplifies Jailbreak Risks in Finetuned LLMs

Finetuning pretrained large language models LLMs has become the standard paradigm for developing downstream applications. However, its security implications remain unclear, particularly regarding whether finetuned LLMs inherit jailbreak vulnerabilities from their pretrained sources. We investigat...

EUVD-2025-201607

A weakness has been identified in H3C Magic B1 up to 100R004. The affected element is the function sub44de0 of the file /goform/aspForm. This manipulation of the argument param causes buffer overflow. Remote exploitation of the attack is possible. The exploit has been made available to the public...

ThinkTrap: Denial-Of-Service Attacks against Black-Box LLM Services Via Infinite Thinking

Large Language Models LLMs have become foundational components in a wide range of applications, including natural language understanding and generation, embodied intelligence, and scientific discovery. As their computational requirements continue to grow, these models are increasingly deployed as...

PT-2025-49392

New HTB video up - Editor machine Chained CVE-2024-24893 for the foothold and CVE-2024-32019 to get root. https://t.co/z1zRLuMttt commands: https://t.co/zZEPDE8xg0 HackTheBox OSCP pentesting editor https://t.co/opAGaJ4Evv...

Adversarial Limits of Quantum Certification: When Eve Defeats Detection

Security of quantum key distribution QKD relies on certifying that observed correlations arise from genuine quantum entanglement rather than eavesdropper manipulation. Theoretical security proofs assume idealized conditions, practical certification must contend with adaptive adversaries who...

Physical ID-Transfer Attacks against Multi-Object Tracking Via Adversarial Trajectory

Multi-Object Tracking MOT is a critical task in computer vision, with applications ranging from surveillance systems to autonomous driving. However, threats to MOT algorithms have yet been widely studied. In particular, incorrect association between the tracked objects and their assigned IDs can...

PT-2026-55929

Name of the Vulnerable Software and Affected Versions GPAC versions prior to 2.5-DEV Description A double free occurs in the MP4Box component within the gf isom nalu sample rewrite function located in the src/isomedia/avc ext.c file. This issue is triggered by the manipulation of the nalu out bs...

Malicious code in @pergel/module-box (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector a0481d4c0ca9178f58c5a7a14ae396a916f1ff2f36d5066f2565bf521d75cdb5 The package @pergel/module-box was found to contain malicious code. Source: google-open-source-security...

EUVD-2025-199454

Malicious code in @pergel/module-box npm...

MAL-2025-191285 Malicious code in @pergel/module-box (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector a0481d4c0ca9178f58c5a7a14ae396a916f1ff2f36d5066f2565bf521d75cdb5 The package @pergel/module-box was found to contain malicious code. Source: google-open-source-security...

Is Your Android TV Streaming Box Part of a Botnet?

On the surface, the Superbox media streaming devices for sale at retailers like BestBuy and Walmart may seem like a steal: They offer unlimited access to more than 2,200 pay-per-view and streaming services like Netflix , ESPN and Hulu , all for a one-time fee of around $400. But security experts...

Frequency Bias Matters: Diving into Robust and Generalized Deep Image Forgery Detection

As deep image forgery powered by AI generative models, such as GANs, continues to challenge today's digital world, detecting AI-generated forgeries has become a vital security topic. Generalizability and robustness are two critical concerns of a forgery detector, determining its reliability when...

FedPoisonTTP: A Threat Model and Poisoning Attack for Federated Test-Time Personalization

Test-time personalization in federated learning enables models at clients to adjust online to local domain shifts, enhancing robustness and personalization in deployment. Yet, existing federated learning work largely overlooks the security risks that arise when local adaptation occurs at test tim...