Hackers steal 15,000 cloud credentials from exposed Git config files

Hackers steal 15,000 cloud credentials from exposed Git config files

October 30, 2024 at 10:12AM

The “EmeraldWhale” operation has exploited exposed Git configuration files to steal over 15,000 cloud credentials from private repositories. Using automated tools, hackers scan IP ranges for vulnerabilities and utilize stolen tokens for phishing and spam. Despite its simplicity, the campaign poses significant risks, prompting developers to adopt better secret management practices.

### Meeting Takeaways on the “EmeraldWhale” Operation

**Overview of the “EmeraldWhale” Operation:**
– A significant malicious campaign identified as “EmeraldWhale” targeted exposed Git configuration files.
– Over 15,000 cloud account credentials were stolen from numerous private repositories.

**Methodology:**
– The operation utilized automated tools to scan 12,000 IP ranges, identifying configuration files that may contain sensitive authentication tokens (e.g., GitHub, GitLab, BitBucket).
– Key tools used in the attack included ‘httpx’ and ‘Masscan’, with hackers having prepared comprehensive files listing every possible IPv4 address.

**Exploited Files:**
– Commonly targeted files include:
– /.git/config
– .gitlab-ci.yml
– .env files (used by Laravel applications)
– These files may contain API keys, access tokens, and passwords, which, if exposed, can lead to unauthorized access and data breaches.

**Outcomes of the Attack:**
– Approximately 1 terabyte of sensitive data, including credentials and logging data, was found in an exposed S3 bucket.
– Of 67,000 exposed URLs scanned, 15,000 cloud credentials were extracted, with substantial numbers specifically from major platforms as well as smaller individual repositories.

**Threat Analysis:**
– The stolen information has been linked to phishing and spam campaigns, as well as being sold to other cybercriminals on platforms like Telegram.
– Coders may inadvertently expose secrets due to convenience and improper repository isolation.

**Recommendations for Mitigation:**
– Developers should employ dedicated secret management tools to securely store sensitive information.
– Using environment variables to handle secrets at runtime rather than embedding them in configuration files can significantly reduce risks.

**Conclusion:**
– Despite the operation’s reliance on automation and available tools, the scale of data theft poses a severe threat, necessitating heightened awareness and improved security practices among developers.

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