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Information stealer malware via fake malicious document as "University of Luxembourg"

0
Low
Published: Mon Jun 24 2019 (06/24/2019, 00:00:00 UTC)
Source: CIRCL
Vendor/Project: tlp
Product: white

Description

Information stealer malware via fake malicious document as "University of Luxembourg"

AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 07/02/2025, 09:42:23 UTC

Technical Analysis

This threat involves an information stealer malware campaign that uses a fake malicious document purportedly from the "University of Luxembourg" as a lure. The malware is designed to steal sensitive information from infected systems, potentially including credentials, personal data, and other confidential information. The attack vector relies on social engineering, where the victim is tricked into opening a malicious document that appears to be legitimate and associated with a trusted institution. Once executed, the malware silently collects information from the victim's device and transmits it to the attacker. The campaign was reported by CIRCL in June 2019, with a low severity rating and a moderate certainty level (50%). There are no known exploits in the wild beyond this campaign, and no specific affected software versions or patches are indicated. The threat level is rated as 3 on an unspecified scale, suggesting a moderate concern. The lack of detailed technical indicators or exploit mechanisms limits the depth of analysis, but the use of a reputable institution's name indicates targeted social engineering to increase the likelihood of victim interaction.

Potential Impact

For European organizations, especially those in academic or research sectors, this malware poses a risk to confidentiality and potentially integrity of sensitive data. If successful, attackers could gain access to user credentials, intellectual property, or personal information, which could lead to further compromise or data breaches. The impact is heightened for organizations that have employees or students who might receive such documents, as the trust in the University of Luxembourg brand could increase the chance of infection. Although the severity is rated low, the stealthy nature of information stealers means that infections might go unnoticed, allowing attackers to harvest data over time. This could result in reputational damage, regulatory fines under GDPR for data breaches, and operational disruptions if critical credentials are compromised.

Mitigation Recommendations

Organizations should implement targeted awareness training emphasizing the risks of opening unsolicited documents, even if they appear to come from trusted institutions. Email filtering solutions should be configured to detect and quarantine suspicious attachments, especially those mimicking known entities. Endpoint detection and response (EDR) tools should be employed to identify unusual data exfiltration or process behaviors indicative of information stealers. Network monitoring for anomalous outbound connections can help detect data leakage attempts. Additionally, organizations should verify the authenticity of documents received from external sources by contacting the purported sender through independent channels. Implementing strict access controls and multi-factor authentication (MFA) can limit the damage if credentials are compromised. Regular backups and incident response plans should be maintained to respond quickly to infections.

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Technical Details

Threat Level
3
Analysis
0
Original Timestamp
1561369720

Threat ID: 682acdbebbaf20d303f0c013

Added to database: 5/19/2025, 6:20:46 AM

Last enriched: 7/2/2025, 9:42:23 AM

Last updated: 3/21/2026, 10:29:07 PM

Views: 42

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