American Fuzzy Lop plus plus 4.35c

Google's American Fuzzy Lop is a brute-force fuzzer coupled with an exceedingly simple but rock-solid instrumentation-guided genetic algorithm. afl++ is a superior fork to Google's afl. It has more speed, more and better mutations, more and better instrumentation, custom module support, etc...

PT-2025-53586

Name of the Vulnerable Software and Affected Versions IBM Aspera Faspex 5 versions 5.0.0 through 5.0.14.1 Description The software may have inconsistent permissions between the user interface and backend API. This could allow users to access features that appear disabled, potentially leading to...

IBM Aspera Faspex 安全漏洞

IBM Aspera Faspex is an International Business Machines IBM solution for rapid global person-to-person document delivery and collaboration. A security vulnerability exists in IBM Aspera Faspex 5 5.0.14.1 and prior versions, which stems from inconsistent permissions between the user interface and...

[SECURITY] Fedora 42 Update: roundcubemail-1.6.12-1.fc42

RoundCube Webmail is a browser-based multilingual IMAP client with an application-like user interface. It provides full functionality you expect from an e-mail client, including MIME support, address book, folder manipulation, message searching and spell checking. RoundCube Webmail is written in...

[SECURITY] Fedora 43 Update: roundcubemail-1.6.12-1.fc43

RoundCube Webmail is a browser-based multilingual IMAP client with an application-like user interface. It provides full functionality you expect from an e-mail client, including MIME support, address book, folder manipulation, message searching and spell checking. RoundCube Webmail is written in...

CVE-2025-68725

In the Linux kernel, the following vulnerability has been resolved: bpf: Do not let BPF test infra emit invalid GSO types to stack Yinhao et al. reported that their fuzzer tool was able to trigger a skbwarnbadoffload from netifskbfeatures - gsofeaturescheck. When a BPF program - triggered via BPF...

Cross-Site Scripting (XSS)

ezsystems/ezplatform-admin-ui is vulnerable to Cross-Site Scripting XSS. The vulnerability is due to improper escaping of user-controlled input in image asset names, content language names, and future publishing features, which allows an attacker with back-office editor or administrator privilege...

Better Call Graphs: A New Dataset of Function Call Graphs for Malware Classification

Function call graphs FCGs have emerged as a powerful abstraction for malware detection, capturing the behavioral structure of applications beyond surface-level signatures. Their utility in traditional program analysis has been well established, enabling effective classification and analysis of...

IoT-Based Android Malware Detection Using Graph Neural Network with Adversarial Defense

Since the Internet of Things IoT is widely adopted using Android applications, detecting malicious Android apps is essential. In recent years, Android graph-based deep learning research has proposed many approaches to extract relationships from applications as graphs to generate graph embeddings...

Fedora 42 : moby-engine (2025-2f6ca95a74)

The remote Fedora 42 host has a package installed that is affected by multiple vulnerabilities as referenced in the FEDORA-2025-2f6ca95a74 advisory. - Update to release v29.1.3 - Resolves: rhbz2417969 - Resolves CVE-2024-25621: rhbz2419019, rhbz2419046, rhbz2419442 - Upstream new features and fix...

CVE-2025-63387

Dify v1.9.1 is vulnerable to Insecure Permissions. An unauthenticated attacker can directly send HTTP GET requests to the /console/api/system-features endpoint without any authentication credentials or session tokens. The endpoint fails to implement proper authorization checks, allowing anonymous...

CVE-2025-63388

A Cross-Origin Resource Sharing CORS misconfiguration vulnerability exists in Dify v1.9.1 in the /console/api/system-features endpoint. The endpoint implements an overly permissive CORS policy that reflects arbitrary Origin headers and sets Access-Control-Allow-Credentials: true, allowing any...

CVE-2025-63387

Dify v1.9.1 is vulnerable to Insecure Permissions. An unauthenticated attacker can directly send HTTP GET requests to the /console/api/system-features endpoint without any authentication credentials or session tokens. The endpoint fails to implement proper authorization checks, allowing anonymous...

PYSEC-2025-103

Dify v1.9.1 is vulnerable to Insecure Permissions. An unauthenticated attacker can directly send HTTP GET requests to the /console/api/system-features endpoint without any authentication credentials or session tokens. The endpoint fails to implement proper authorization checks, allowing anonymous...

PYSEC-2025-103

Dify v1.9.1 is vulnerable to Insecure Permissions. An unauthenticated attacker can directly send HTTP GET requests to the /console/api/system-features endpoint without any authentication credentials or session tokens. The endpoint fails to implement proper authorization checks, allowing anonymous...

EUVD-2025-204306

A Cross-Origin Resource Sharing CORS misconfiguration vulnerability exists in Dify v1.9.1 in the /console/api/system-features endpoint. The endpoint implements an overly permissive CORS policy that reflects arbitrary Origin headers and sets Access-Control-Allow-Credentials: true, allowing any...

CVE-2025-63388

A Cross-Origin Resource Sharing CORS misconfiguration vulnerability exists in Dify v1.9.1 in the /console/api/system-features endpoint. The endpoint implements an overly permissive CORS policy that reflects arbitrary Origin headers and sets Access-Control-Allow-Credentials: true, allowing any...

CVE-2025-64214

Missing Authorization vulnerability in StylemixThemes MasterStudy LMS Pro masterstudy-lms-learning-management-system-pro allows Accessing Functionality Not Properly Constrained by ACLs.This issue affects MasterStudy LMS Pro: from n/a through 4.7.16...

CVE-2025-60077

Missing Authorization vulnerability in YayCommerce YayPricing yaypricing allows Accessing Functionality Not Properly Constrained by ACLs.This issue affects YayPricing: from n/a through = 3.5.3...

Phishing Detection System: An Ensemble Approach Using Character-Level CNN and Feature Engineering

In actuality, phishing attacks remain one of the most prevalent cybersecurity risks in existence today, with malevolent actors constantly changing their strategies to successfully trick users. This paper presents an AI model for a phishing detection system that uses an ensemble approach to combin...