7837 matches found
CVE-2012-10042
CVE-2012-10042 affects Sflog! CMS 1.0 via an authenticated file-upload vulnerability in the blog management interface (manage.php). With default credentials (admin:secret), authenticated users can upload files to blogs/download/uploads/, where the upload validation is insufficient, enabling a PHP...
PT-2025-32395 · Unknown · Sflog! Cms
Name of the Vulnerable Software and Affected Versions: Sflog! CMS version 1.0 Description: Sflog! CMS version 1.0 contains an authenticated arbitrary file upload issue in the blog management interface. The application includes default credentials admin:secret and permits authenticated users to...
Non-Omniscient Backdoor Injection with a Single Poison Sample: Proving the One-Poison Hypothesis for Linear Regression and Linear Classification
Backdoor injection attacks are a threat to machine learning models that are trained on large data collected from untrusted sources; these attacks enable attackers to inject malicious behavior into the model that can be triggered by specially crafted inputs. Prior work has established bounds on th...
CERT-UA Warns of HTA-Delivered C# Malware Attacks Using Court Summons Lures
The Computer Emergency Response Team of Ukraine CERT-UA has warned of cyber attacks carried out by a threat actor called UAC-0099 targeting government agencies, the defense forces, and enterprises of the defense-industrial complex in the country. The attacks, which leverage phishing emails as an...
Isolate Trigger: Detecting and Eradicating Evade-Adaptive Backdoors
All current detection of backdoor attacks on deep learning models fall under the category of a non essential featuresNEF, which focus on fighting against simple and efficient vertical class backdoor -- trigger is small, few and not overlapping with the source. Evade-adaptive backdoor EAB attacks...
Selection-Based Vulnerabilities: Clean-Label Backdoor Attacks in Active Learning
Active learningAL, which serves as the representative label-efficient learning paradigm, has been widely applied in resource-constrained scenarios. The achievement of AL is attributed to acquisition functions, which are designed for identifying the most important data to label. Despite this...
BadBlocks: Low-Cost and Stealthy Backdoor Attacks Tailored for Text-To-Image Diffusion Models
In recent years,Diffusion models have achieved remarkable progress in the field of image generation.However,recent studies have shown that diffusion models are susceptible to backdoor attacks,in which attackers can manipulate the output by injecting covert triggers such as specific visual pattern...
⚡ Weekly Recap: VPN 0-Day, Encryption Backdoor, AI Malware, macOS Flaw, ATM Hack & More
Malware isn't just trying to hide anymore—it's trying to belong. We're seeing code that talks like us, logs like us, even documents itself like a helpful teammate. Some threats now look more like developer tools than exploits. Others borrow trust from open-source platforms, or quietly build...
New 'Plague' PAM Backdoor Exposes Critical Linux Systems to Silent Credential Theft
Cybersecurity researchers have flagged a previously undocumented Linux backdoor dubbed Plague that has managed to evade detection for a year. "The implant is built as a malicious PAM Pluggable Authentication Module, enabling attackers to silently bypass system authentication and gain persistent S...
Coward: toward Practical Proactive Federated Backdoor Defense Via Collision-Based Watermark
Backdoor detection is currently the mainstream defense against backdoor attacks in federated learning FL, where malicious clients upload poisoned updates that compromise the global model and undermine the reliability of FL deployments. Existing backdoor detection techniques fall into two...
Proactive Disentangled Modeling of Trigger-Object Pairings for Backdoor Defense
Deep neural networks DNNs and generative AI GenAI are increasingly vulnerable to backdoor attacks, where adversaries embed triggers into inputs to cause models to misclassify or misinterpret target labels. Beyond traditional single-trigger scenarios, attackers may inject multiple triggers across...
BeDKD: Backdoor Defense Based on Dynamic Knowledge Distillation and Directional Mapping Modulator
Although existing backdoor defenses have gained success in mitigating backdoor attacks, they still face substantial challenges. In particular, most of them rely on large amounts of clean data to weaken the backdoor mapping but generally struggle with residual trigger effects, resulting in...
DUP: Detection-Guided Unlearning for Backdoor Purification in Language Models
As backdoor attacks become more stealthy and robust, they reveal critical weaknesses in current defense strategies: detection methods often rely on coarse-grained feature statistics, and purification methods typically require full retraining or additional clean models. To address these challenges...
New Attack Uses Windows Shortcut Files to Install REMCOS Backdoor
Security firm Point Wild has exposed a new malware campaign using malicious LNK files to install the REMCOS backdoor. This report details how attackers disguise files to gain full system control...
Storm-2603 Deploys DNS-Controlled Backdoor in Warlock and LockBit Ransomware Attacks
The threat actor linked to the exploitation of the recently disclosed security flaws in Microsoft SharePoint Server is using a bespoke command-and-control C2 framework called AK47 C2 also spelled ak47c2 in its operations. The framework includes at least two different types of clients, HTTP-based...
How the FBI got everything it wanted (re-air) (Lock and Code S06E15)
This week on the Lock and Code podcast… For decades, digital rights activists, technologists, and cybersecurity experts have worried about what would happen if the US government secretly broke into people’s encrypted communications. The weird thing, though, is that, in 2018, it already happened...
ConSeg: Contextual Backdoor Attack against Semantic Segmentation
Despite significant advancements in computer vision, semantic segmentation models may be susceptible to backdoor attacks. These attacks, involving hidden triggers, aim to cause the models to misclassify instances of the victim class as the target class when triggers are present, posing serious...
FedBAP: Backdoor Defense Via Benign Adversarial Perturbation in Federated Learning
Federated Learning FL enables collaborative model training while preserving data privacy, but it is highly vulnerable to backdoor attacks. Most existing defense methods in FL have limited effectiveness due to their neglect of the model's over-reliance on backdoor triggers, particularly as the...
Cyber Espionage Campaign Hits Russian Aerospace Sector Using EAGLET Backdoor
Russian aerospace and defense industries have become the target of a cyber espionage campaign that delivers a backdoor called EAGLET to facilitate data exfiltration. The activity, dubbed Operation CargoTalon , has been assigned to a threat cluster tracked as UNG0901 short for Unknown Group 901...
Hackers Deploy Stealth Backdoor in WordPress Mu-Plugins to Maintain Admin Access
Cybersecurity researchers have uncovered a new stealthy backdoor concealed within the "mu-plugins" directory in WordPress sites to grant threat actors persistent access and allow them to perform arbitrary actions. Must-use plugins aka mu-plugins are special plugins that are automatically activate...