CVE-2024-32119

An improper authentication vulnerability CWE-287 in Fortinet FortiClientEMS version 7.4.0 and before 7.2.4 allows an unauthenticated attacker with the knowledge of the targeted user's FCTUID and VDOM to perform operations such as uploading or tagging on behalf of the targeted user via specially...

CVE-2024-32119

CVE-2024-32119 affects Fortinet FortiClientEMS, specifically versions 7.4.0 and before 7.2.4. The issue is an improper authentication (CWE-287) that could allow an unauthenticated attacker, who knows a targeted user’s FCTUID and VDOM, to perform operations such as uploading or tagging on behalf o...

NICKNAME: Zero-Click iMessage Exploit Targeted Key Figures in US, EU

iVerify's NICKNAME discovery reveals a zero-click iMessage flaw exploited in targeted attacks on US & EU high-value individuals…...

Iran-Linked BladedFeline Hits Iraqi and Kurdish Targets with Whisper and Spearal Malware

An Iran-aligned hacking group has been attributed to a new set of cyber attacks targeting Kurdish and Iraqi government officials in early 2024. The activity is tied to a threat group ESET tracks as BladedFeline , which is assessed with medium confidence to be a sub-cluster within OilRig, a known...

Explainer-Guided Targeted Adversarial Attacks against Binary Code Similarity Detection Models

Binary code similarity detection BCSD serves as a fundamental technique for various software engineering tasks, e.g., vulnerability detection and classification. Attacks against such models have therefore drawn extensive attention, aiming at misleading the models to generate erroneous predictions...

Mind the Gap: a Practical Attack on GGUF Quantization

With the increasing size of frontier LLMs, post-training quantization has become the standard for memory-efficient deployment. Recent work has shown that basic rounding-based quantization schemes pose security risks, as they can be exploited to inject malicious behaviors into quantized models tha...

Qualcomm Fixes 3 Zero-Days Used in Targeted Android Attacks via Adreno GPU

Qualcomm has shipped security updates to address three zero-day vulnerabilities that it said have been exploited in limited, targeted attacks in the wild. The flaws in question, which were responsibly disclosed to the company by the Google Android Security team, are listed below - CVE-2025-21479...

Shadow Defense against Gradient Inversion Attack in Federated Learning

Federated learning FL has emerged as a transformative framework for privacy-preserving distributed training, allowing clients to collaboratively train a global model without sharing their local data. This is especially crucial in sensitive fields like healthcare, where protecting patient data is...

Earth Lamia Develops Custom Arsenal to Target Multiple Industries

Trend™ Research has been tracking an active APT threat actor named Earth Lamia, targeting multiple industries in Brazil, India and Southeast Asia countries at least since 2023. The threat actor primarily exploits vulnerabilities in web applications to gain access to targeted organizations...

One Surrogate to Fool Them All: Universal, Transferable, and Targeted Adversarial Attacks with CLIP

Deep Neural Networks DNNs have achieved widespread success yet remain prone to adversarial attacks. Typically, such attacks either involve frequent queries to the target model or rely on surrogate models closely mirroring the target model -- often trained with subsets of the target model's traini...

CVE-2024-26138

The XWiki licensor application, which manages and enforce application licenses for paid extensions, includes the document Licenses.Code.LicenseJSON that provides information for admins regarding active licenses. This document is public and thus exposes this information publicly. The information...

CVE-2023-28655

A malicious user could leverage this vulnerability to escalate privileges or perform unauthorized actions in the context of the targeted privileged users...

CVE-2023-0040

Versions of Async HTTP Client prior to 1.13.2 are vulnerable to a form of targeted request manipulation called CRLF injection. This vulnerability was the result of insufficient validation of HTTP header field values before sending them to the network. Users are vulnerable if they pass untrusted...

CVE-2023-41332

Cilium is a networking, observability, and security solution with an eBPF-based dataplane. In Cilium clusters where Cilium's Layer 7 proxy has been disabled, creating workloads with policy.cilium.io/proxy-visibility annotations in Cilium = v1.13 or io.cilium.proxy-visibility annotations in Cilium...

CVE-2021-41176

Pterodactyl is an open-source game server management panel built with PHP 7, React, and Go. In affected versions of Pterodactyl a malicious user can trigger a user logout if a signed in user visits a malicious website that makes a request to the Panel's sign-out endpoint. This requires a targeted...

CAIN: Hijacking LLM-Humans Conversations Via a Two-Stage Malicious System Prompt Generation and Refining Framework

Large language models LLMs have advanced many applications, but are also known to be vulnerable to adversarial attacks. In this work, we introduce a novel security threat: hijacking AI-human conversations by manipulating LLMs' system prompts to produce malicious answers only to specific targeted...

Robust LLM Fingerprinting Via Domain-Specific Watermarks

As open-source language models OSMs grow more capable and are widely shared and finetuned, ensuring model provenance, i.e., identifying the origin of a given model instance, has become an increasingly important issue. At the same time, existing backdoor-based model fingerprinting techniques often...

PRUNE: a Patching Based Repair Framework for Certifiable Unlearning of Neural Networks

It is often desirable to remove a.k.a. unlearn a specific part of the training data from a trained neural network model. A typical application scenario is to protect the data holder's right to be forgotten, which has been promoted by many recent regulation rules. Existing unlearning methods invol...

FABLE: a Localized, Targeted Adversarial Attack on Weather Forecasting Models

Deep learning-based weather forecasting models have recently demonstrated significant performance improvements over gold-standard physics-based simulation tools. However, these models are vulnerable to adversarial attacks, which raises concerns about their trustworthiness. In this paper, we first...

New HTTPBot Botnet Launches 200+ Precision DDoS Attacks on Gaming and Tech Sectors

Cybersecurity researchers are calling attention to a new botnet malware called HTTPBot that has been used to primarily single out the gaming industry, as well as technology companies and educational institutions in China. "Over the past few months, it has expanded aggressively, continuously...