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From Infection to Access: A 24-Hour Timeline of a Modern Stealer Campaign

Stealer malware no longer just steals passwords. In 2025, it steals live sessions—and attackers are moving faster and more efficiently than ever. While many associate account takeovers with personal services, the real threat is unfolding in the enterprise. Flare’s latest research, The Account and Session Takeover Economy, analyzed over 20 million stealer logs and tracked attacker activity across

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Mimo Hackers Exploit CVE-2025-32432 in Craft CMS to Deploy Cryptominer and Proxyware

A financially motivated threat actor has been observed exploiting a recently disclosed remote code execution flaw affecting the Craft Content Management System (CMS) to deploy multiple payloads, including a cryptocurrency miner, a loader dubbed Mimo Loader, and residential proxyware. The vulnerability in question is CVE-2025-32432, a maximum severity flaw in Craft CMS that was patched in

How 'Browser-in-the-Middle' Attacks Steal Sessions in Seconds

Would you expect an end user to log on to a cybercriminal’s computer, open their browser, and type in their usernames and passwords? Hopefully not! But that’s essentially what happens if they fall victim to a Browser-in-the-Middle (BitM) attack. Like Man-in-the-Middle (MitM) attacks, BiTM sees criminals look to control the data flow between the victim’s computer and the target service, as

GHSA-98v7-xxxv-hcrh: Apache InLong: JDBC Vulnerability for Invisible Character Bypass Leading to Arbitrary File Read

Deserialization of Untrusted Data vulnerability in Apache InLong. This issue affects Apache InLong: from 1.13.0 through 2.1.0. This vulnerability allows attackers to bypass the security mechanisms of InLong JDBC and leads to arbitrary file reading. Users are advised to upgrade to Apache InLong's 2.2.0 or cherry-pick [1] to solve it. [1] https://github.com/apache/inlong/pull/11747

GHSA-532x-j9r7-8f73: Apache InLong: JDBC Vulnerability For URLEncode and backspace bypass

Deserialization of Untrusted Data vulnerability in Apache InLong. This issue affects Apache InLong: from 1.13.0 through 2.1.0. This vulnerability which can lead to JDBC Vulnerability URLEncode and backspace bypass. Users are advised to upgrade to Apache InLong's 2.2.0 or cherry-pick [1] to solve it. [1]  https://github.com/apache/inlong/pull/11747

GHSA-r324-vgr5-73c9: Apache InLong: JDBC Vulnerability during verification processing

Deserialization of Untrusted Data vulnerability in Apache InLong. This issue affects Apache InLong: from 1.13.0 through 2.1.0. This vulnerability is a secondary mining bypass for CVE-2024-26579. Users are advised to upgrade to Apache InLong's 2.2.0 or cherry-pick [1] to solve it. [1] https://github.com/apache/inlong/pull/11732

251 Amazon-Hosted IPs Used in Exploit Scan Targeting ColdFusion, Struts, and Elasticsearch

Cybersecurity researchers have disclosed details of a coordinated cloud-based scanning activity that targeted 75 distinct "exposure points" earlier this month. The activity, observed by GreyNoise on May 8, 2025, involved as many as 251 malicious IP addresses that are all geolocated to Japan and hosted by Amazon. "These IPs triggered 75 distinct behaviors, including CVE exploits,

New Phishing Campaign Uses DBatLoader to Drop Remcos RAT: What Analysts Need to Know

Disclosure: This article was provided by ANY.RUN. The information and analysis presented are based on their research and findings.

Apple Blocks $9 Billion in Fraud Over 5 Years Amid Rising App Store Threats

Apple on Tuesday revealed that it prevented over $9 billion in fraudulent transactions in the last five years, including more than $2 billion in 2024 alone. The company said the App Store is confronted by a wide range of threats that seek to defraud users in various ways, ranging from "deceptive apps designed to steal personal information to fraudulent payment schemes that attempt to exploit

Indian Police Arrest Cybercrime Gang Copycats of Myanmar Biz Model

The region offers attractive conditions: a large pool of tech workers, economic disparity, and weak enforcement of cybercrime laws — all of which attract businesses legitimate and shady.