What happened
Malware embedded in a fake coding test stole session tokens and granted access to code repositories.
Why it matters
The story illustrates how the hiring process can become an entry point for attacks affecting not only the job applicant but also code repositories.
Fraudulent cryptocurrency job listings on LinkedIn have resulted in losses of $11,8illion in Singapore, according to the headline and summary from Decrypt. Attackers distributed malware as part of a fictitious programming test assignment.
According to the source synopsis, the malicious software stole session tokens. This allowed attackers to bypass multi-factor authentication and gain access to code repositories.
The practical risk for job seekers is that multi-factor authentication does not always protect an active session once a token has been stolen. The available material is based on a single publication and metadata, so details of the scheme and confirmation of the loss amount require further verification.
Confirmed facts
- Decrypt reported on fraudulent cryptocurrency job listings on LinkedIn linked to $11,8illion in losses in Singapore.
- Malware was distributed as part of a fake programming test assignment.
- The malicious program stole session tokens.
- The session token was used to bypass multi-factor authentication and access a code repository.
Context
Source: Decrypt, August 14, 2026. Only a synopsis of the publication is available in the metadata; the full text and primary statement are missing.
What remains unknown
- Who specifically estimated the losses at $11,8illion and over what period?
- How many individuals or organizations were affected?
- How was the malware distributed and which repositories were compromised?
- Has the information been confirmed by independent sources or official Singaporean authorities?
Editorial context
Confidence: medium
A likely consequence of such a scheme is increased scrutiny regarding files and tasks from potential employers. The next observable signal will be official confirmation of the loss amount, the number of victims, or the scale of repository access. Significant uncertainty remains due to the single source and metadata lacking the full text.