137 matches found
CVE-2020-36708
CVE-2020-36708 – WordPress Epsilon Framework Function Injection PoC Overview CVE-2020-36708 is a vulnerability in the Epsilon Framework for WordPress that allows unauthenticated attackers to invoke arbitrary PHP class methods via the AJAX action epsilonframeworkajaxaction. This issue is categoriz...
WordPress Epsilon Framework Themes <=2.4.8 - Remote Code Execution
WordPress themes including Shapely = 1.2.7, NewsMag = 2.4.1, Activello = 1.4.0, Illdy = 2.1.4, Allegiant = 1.2.2, Newspaper X = 1.3.1, Pixova Lite = 2.0.5, Brilliance = 1.2.7, MedZone Lite = 1.2.4, Regina Lite = 2.0.4, Transcend = 1.1.8, Affluent = 1.1.0, Bonkers = 1.0.4, Antreas = 1.0.2, Sparkli...
Malicious Package
Overview benchmark-epsilon-runtime-authenticate-slow is a malicious package. This package contains malicious code, and its content was removed from the official package manager. While this package might be attempting to impersonate a valid organization, there is no connection between that...
Malicious Package
Overview benchmark-deserialize-mu-epsilon-shell is a malicious package. This package contains malicious code, and its content was removed from the official package manager. While this package might be attempting to impersonate a valid organization, there is no connection between that organization...
WordPress Epsilon Framework Themes <=2.4.8 - Remote Code Execution Detection
WordPress themes including Shapely = 1.2.7, NewsMag = 2.4.1, Activello = 1.4.0, Illdy = 2.1.4, Allegiant = 1.2.2, Newspaper X = 1.3.1, Pixova Lite = 2.0.5, Brilliance = 1.2.7, MedZone Lite = 1.2.4, Regina Lite = 2.0.4, Transcend = 1.1.8, Affluent = 1.1.0, Bonkers = 1.0.4, Antreas = 1.0.2, Sparkli...
A Multi-Model Hybrid Defense Approach against White-Box Adversarial Attacks in Computer Network Traffic
It is crucial to safeguard computer networks from evolving network security threats and unknown cyberattacks. An essential tool for protecting computer networks against unknown cyber threats is Network Intrusion Detection System NIDS. However, NIDS faces a major security concern due to its...
CVE-2026-43928 FOSSBilling: Payment amount not validated in PayPalEmail adapter allows invoice underpayment
FOSSBilling is a free, open-source billing and client management system. Prior to version 0.8.0, the PayPalEmail payment adapter accepts PayPal IPN callbacks and credits the IPN-supplied amount mcgross to the client's balance without validating it against the invoice total. Combined with a $0.05...
CVE-2026-43928 FOSSBilling: Payment amount not validated in PayPalEmail adapter allows invoice underpayment
FOSSBilling is a free, open-source billing and client management system. Prior to version 0.8.0, the PayPalEmail payment adapter accepts PayPal IPN callbacks and credits the IPN-supplied amount mcgross to the client's balance without validating it against the invoice total. Combined with a $0.05...
Malicious Package
Overview faster-axios is a malicious package. This package contains malicious code associated with the Epsilon Stealer malware campaign. While this package attempts to impersonate a legitimate performance-enhanced version of the axios HTTP client, there is no connection between the axios project ...
Malicious Package
Overview turbo-axios is a malicious package. This package contains malicious code associated with the Epsilon Stealer malware campaign. While this package attempts to impersonate a legitimate performance-enhanced version of the axios HTTP client, there is no connection between the axios project o...
Evaluating Differential Privacy against Membership Inference in Federated Learning: Insights from the NIST Genomics Red Team Challenge
While Federated Learning FL mitigates direct data exposure, the resulting trained models remain susceptible to membership inference attacks MIAs. This paper presents an empirical evaluation of Differential Privacy DP as a defense mechanism against MIAs in FL, leveraging the environment of the 202...
Optimizing Epsilon Security Parameters in QKD
We investigate the optimization of epsilon-security parameters in quantum key distribution QKD, aiming to improve the achievable secure key rate under a fixed overall composable security level. For this purpose, we employ a continuous genetic algorithm CGA to optimize the epsilon-security...
EUVD-2025-178901
Malicious code in final-secure-epsilon-catch-book npm...
EUVD-2025-176376
Malicious code in simple-await-try-book-epsilon npm...
EUVD-2025-176992
Malicious code in protected-link-fire-epsilon-await npm...
EUVD-2025-176758
Malicious code in refactor-cat-epsilon-interface-monitor npm...
EUVD-2025-179094
Malicious code in epsilon-beta-key-double-assert npm...
EUVD-2025-179092
Malicious code in epsilon-class-cluster-root-xml npm...