86 matches found
CVE-2025-10943
The CVE-2025-10943 entry concerns MikeCen WeChat-Face-Recognition, affecting the wx.php file’s valid function. The vulnerability arises from manipulating the echostr argument, enabling cross-site scripting. Exploitation is described as remote, with nothing indicating versioned releases or a publi...
CVE-2025-10943 MikeCen WeChat-Face-Recognition wx.php valid cross site scripting
A security flaw has been discovered in MikeCen WeChat-Face-Recognition up to 6e3f72bf8547d80b59e330f1137e4aa505f492c1. This vulnerability affects the function valid of the file wx.php. The manipulation of the argument echostr results in cross site scripting. The attack can be launched remotely...
CVE-2025-10943 MikeCen WeChat-Face-Recognition wx.php valid cross site scripting
A security flaw has been discovered in MikeCen WeChat-Face-Recognition up to 6e3f72bf8547d80b59e330f1137e4aa505f492c1. This vulnerability affects the function valid of the file wx.php. The manipulation of the argument echostr results in cross site scripting. The attack can be launched remotely...
WeChat-Face-Recognition 代码注入漏洞
WeChat-Face-Recognition is a WeChat admin platform face recognition program by Mike Cen, an individual developer. WeChat-Face-Recognition suffers from a code injection vulnerability that stems from a misuse of the parameter echostr in the file wx.php, which could lead to a cross-site scripting...
In-Context Learning of Vision Language Models for Detection of Physical and Digital Attacks against Face Recognition Systems
Recent advances in biometric systems have significantly improved the detection and prevention of fraudulent activities. However, as detection methods improve, attack techniques become increasingly sophisticated. Attacks on face recognition systems can be broadly divided into physical and digital...
Non-Adaptive Adversarial Face Generation
Adversarial attacks on face recognition systems FRSs pose serious security and privacy threats, especially when these systems are used for identity verification. In this paper, we propose a novel method for generating adversarial faces-synthetic facial images that are visually distinct yet...
DiffUMI: Training-Free Universal Model Inversion Via Unconditional Diffusion for Face Recognition
Face recognition technology presents serious privacy risks due to its reliance on sensitive and immutable biometric data. To address these concerns, such systems typically convert raw facial images into embeddings, which are traditionally viewed as privacy-preserving. However, model inversion...
Pura: an Efficient Privacy-Preserving Solution for Face Recognition
Face recognition is an effective technology for identifying a target person by facial images. However, sensitive facial images raises privacy concerns. Although privacy-preserving face recognition is one of potential solutions, this solution neither fully addresses the privacy concerns nor is...
Facial Recognition Leveraging Generative Adversarial Networks
Face recognition performance based on deep learning heavily relies on large-scale training data, which is often difficult to acquire in practical applications. To address this challenge, this paper proposes a GAN-based data augmentation method with three key contributions: 1 a residual-embedded...
US Customs and Border Protection Plans to Photograph Everyone Exiting the US by Car
A CBP spokesperson tells WIRED that the agency plans to expand its program for real-time face recognition at the border, potentially aiding Trump administration efforts to track people who self-deport...
CVE-2025-32367
The Oz Forensics face recognition application before 4.0.8 late 2023 allows PII retrieval via /statistic/list Insecure Direct Object Reference. NOTE: the number 4.0.8 was used for both the unpatched and patched versions...
CVE-2025-32367
The Oz Forensics face recognition application before 4.0.8 late 2023 allows PII retrieval via /statistic/list Insecure Direct Object Reference. NOTE: the number 4.0.8 was used for both the unpatched and patched versions...
CVE-2025-32367
The Oz Forensics face recognition application before 4.0.8 late 2023 allows PII retrieval via /statistic/list Insecure Direct Object Reference. NOTE: the number 4.0.8 was used for both the unpatched and patched versions...
CVE-2025-32367
The Oz Forensics face recognition application before 4.0.8 late 2023 allows PII retrieval via /statistic/list Insecure Direct Object Reference. NOTE: the number 4.0.8 was used for both the unpatched and patched versions...
PT-2025-16145 · Unknown · Oz Forensics
Name of the Vulnerable Software and Affected Versions: Oz Forensics face recognition application versions prior to 4.0.8 Description: The issue allows PII retrieval via /statistic/list Insecure Direct Object Reference. Recommendations: For versions prior to 4.0.8, consider disabling access to the...
CVE-2025-32367
CVE-2025-32367 affects the Oz Forensics face recognition application prior to version 4.0.8 (late 2023). The root cause is an Insecure Direct Object Reference flaw in the /statistic/list endpoint, which could allow retrieval of PII. Public references from NVD/Red Hat describe the vulnerability, w...
Top Trump Officials’ Passwords and Personal Phone Numbers Discovered Online
Plus: Alleged Snowflake hacker will be extradited to US, internet restrictions create an information vacuum in Myanmar, and London gets its first permanent face recognition cameras...
The Paper Passport Is Dying
Smartphones and face recognition are being combined to create new digital travel documents. The paper passport’s days are numbered—despite new privacy risks...
Google Chrome’s uBlock Origin Purge Has Begun
Plus: The alleged SEC X account hacker gets charged, Kroger wriggles out of a face recognition scandal, and Microsoft deals with missing customer security logs...
The FBI Still Hasn’t Cracked NYC Mayor Eric Adams’ Phone
Plus: Harvard students pack Meta’s smart glasses with privacy-invading face-recognition tech, Microsoft and the DOJ seize Russian hackers’ domains, and more...