Abuse covers the misuse of accounts, services, and systems for fraud, intrusion, harassment, or other harmful cyber activity.
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Abuse in cybersecurity means using systems, networks, or services in unauthorized or harmful ways, such as sending spam, hijacking accounts, or launching Distributed Denial of Service (DDoS) attacks. It often exploits weak authentication, misconfigurations, or gaps in policies to gain access or disrupt services. Common abuse techniques include credential stuffing, phishing, and using compromised infrastructure to amplify attacks.
Managing abuse is critical because it can degrade service availability, expose sensitive data, and damage organizational reputation. Security teams focus on detecting unusual activity patterns, enforcing multi-factor authentication, and applying rate limits to reduce automated abuse. Timely abuse reporting and automated detection tools help identify and block malicious behavior, making abuse mitigation a key part of maintaining secure and reliable systems.
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Cybercriminals hijacked Google Ads searches for popular AI developer tools to funnel over 2,000 victims toward malicious download pages before quietly moving their operation onto claude.ai's own platform, turning the trusted domain into a delivery mechanism for credential-stealing malware.
This blog discusses the steganography, cloud abuse, and email-based backdoors used against the Ukrainian defense supply chain in the latest Pawn Storm campaign that TrendAI™ Research observed and analyzed.
Our analysis of an active KongTuke campaign deploying modeloRAT — malware capable of reconnaissance, command execution, and persistent access — through compromised WordPress sites and fake CAPTCHA lures shows that the group still operates this delivery chain in parallel with the newer CrashFix technique.
Threat actors exploited Cloudflare's free-tier infrastructure and legitimate Python environments to deploy the AsyncRAT remote access trojan, demonstrating advanced evasion techniques that abuse trusted cloud services for malicious operations.
CVE-2025-53770 and CVE-2025-53771 are vulnerabilities in on-premise Microsoft SharePoint Servers that evolved from previously patched flaws, allowing unauthenticated remote code execution through advanced deserialization and ViewState abuse.
Trend Research uncovered misconfigurations in NVIDIA Riva deployments, with two vulnerabilities, CVE-2025-23242 and CVE-2025-23243, contributing to their exposure. These security flaws could lead to unauthorized access, resource abuse, and potential misuse or theft of AI-powered inference services, including speech recognition and text-to-speech processing.
This article uncovers a Golang ransomware abusing AWS S3 for data theft, and masking as LockBit to further pressure victims. The discovery of hard-coded AWS credentials in these samples led to AWS account suspensions.
Trend Micro's Threat Hunting Team discovered EDRSilencer, a red team tool that threat actors are attempting to abuse for its ability to block EDR traffic and conceal malicious activity.
This blog discusses how threat actors abuse Discord’s content delivery network (CDN) to host and spread Lumma Stealer, and talks about added capabilities to the information stealing malware.
This is the third installment of a three-part technical analysis of the fully undetectable (FUD) obfuscation engine BatCloak and SeroXen malware. In this entry, we document the techniques used to spread and abuse SeroXen, as well as the security risks, impact, implications of, and insights into highly evasive FUD batch obfuscators.
We looked into the documented behavior of SeroXen malware and noted the inclusion of the latest iteration of the batch obfuscation engine BatCloak to generate a fully undetectable (FUD) .bat loader. This is the second part of a three-part series documenting the abuse of BatCloak’s evasion capabilities and interoperability with other malware.
This is the first part of our security analysis of an information stealer targeting GitHub Codespaces (CS) that discusses how attackers can abuse these cloud services for a variety of malicious activities.
Proof of Concept (POC): We investigate one of the GitHub Codespaces’ real-time code development and collaboration features that attackers can abuse for cloud-based trusted malware delivery. Once exploited, malicious actors can abuse legitimate GitHub accounts to create a malware file server.
We analyze the latest changes in IcedID botnet from a campaign that abuses Google pay per click (PPC) ads to distribute IcedID via malvertising attacks.
We look into some of the implementations that cybercriminals use to bypass the Windows Antimalware Scan Interface (AMSI) and how security teams can detect threats attempting to abuse it for compromise with Trend Micro Vision One™.
We found malicious samples attempting to steal Amazon Elastic Compute Cloud (EC2) Workloads' access keys and tokens via typosquatting and the abuse of legitimate tools.
Industry 4.0 has given rise to smart factories that have markedly improved machining processes, but it has also opened the doors for cybercriminals looking to abuse networked industrial equipment such as CNC machines. Our research investigates potential cyberthreats to CNC machines and how manufacturers can mitigate the associated risks.
This blog entry details how Trend Micro Cloud One™ – Workload Security and Trend Micro Vision One™ effectively detected and blocked the abuse of the CVE-2020-14882 WebLogic vulnerability in affected endpoints.
One of our honeypots based on exposed Docker REST APIs showed cybercriminal group TeamTNT’s potential attack scenario and leak of container registry credentials for docker-abuse malware. The full version of this research will be presented at the c0c0n XV Hacking and Cyber Security Conference in September 2022.
Through our honeypots and telemetry, we were able to observe instances in which malicious actors abused native Linux tools to launch attacks on Linux environments. In this blog entry, we discuss how these utilities were used and provide recommendations on how to minimize their impact.