InfoSecBulletin Cybersecurity for mankind
FortiGuard Labs found a phishing campaign that tricks users into downloading a malicious Java downloader to spread new VCURMS and STRRAT remote access trojans.
The attackers stored malware on public services like Amazon Web Services (AWS) and GitHub to avoid detection. They used email as its command and control throughout the attack campaign. The receiving endpoint uses Proton Mail for privacy protection. Figure 1 shows the attack chain.
Critical cPanel, GitLab AI Gateway and Dell CSM Flaws Enable RCE And Admin Hijacking
Nearly 100,000 email addresses exposed in first AI-related data breach in Singapore
Hackers Exploit Zimbra Mail Servers: TeamViewer patched 5 critical flaws
Google Warns of Hackers Actively Exploiting Citrix 0-Day Flaws
CISA Warns Critical MikroTik RouterOS Flaw While Cisco SD-WAN Zero-Day Exploited in Attacks
Apple Zero-Day Exploited: Pentagon Data Breach Reportedly Exposes Sensitive Data of 3 Million People
JadePuffer Agentic AI targets and destroys Azure’s cloud resources
“InfoSecCon-2026: Bangladesh’s Cybersecurity Leaders Unite to Shape a Safer Digital Future”
Microsoft Patches CVSS 10.0 Azure AI Foundry Vulnerability Allowing Privilege Escalation
AWS is unable to restore access to Bahrain, one UAE cloud data zone after war damage
Initial Access:
The email shown in Figure 2 is part of an attack campaign. It tricks staff members by pretending that a payment is being made and prompts them to click a button to confirm payment details. When the button is clicked, a harmful JAR file hosted on AWS is downloaded to the victim’s computer.
Payment-Advice.jar:
The downloaded files look like typical phishing attachments with fake names meant to trick people into opening them. When checking the file with a JAR decompiler, many strings are hidden, and one of the class names, “DownloadAndExecuteJarFiles.class,” clearly shows the program’s intention. The program is designed to download two JAR files to a path provided by the attacker and run them.
The obfuscator uses a class called “sense loader”, as seen in Figure 4. This class selects the appropriate native loader module from the resources based on the current operating system during execution.
The obfuscator‘s code is very similar to the code generated by a legitimate obfuscation tool called “Sense Shield Virbox Protector” shown in Figure 6.
To read out the full report click here.
