Full Report
The Los Angeles Times website was covertly mining cryptocurrency on visitors' devices after hackers injected CoinHive's Monero-mining code. This happened due to an unprotected Amazon S3 storage bucket, which allowed unrestricted public access, letting hackers modify site files...
Analysis Summary
# Incident Report: LA Times Cryptomining via S3 Misconfiguration
## Executive Summary
Hackers exploited an unprotected, publicly accessible Amazon S3 storage bucket belonging to the Los Angeles Times to inject a CoinHive cryptocurrency mining script onto their website. This resulted in unauthorized processing (Cryptojacking) on visitors' devices via the interactive homicide map. The incident highlights the critical danger of insecure cloud storage configurations leading to direct website compromise.
## Incident Details
- Discovery Date: February 22, 2018 (Date of public reporting)
- Incident Date: Circa February 2018 (Date of injection is not precisely noted, but context suggests shortly before reporting)
- Affected Organization: Los Angeles Times
- Sector: Media/News Publishing
- Geography: United States (Implied, as LA Times is based in Los Angeles)
## Timeline of Events
### Initial Access
- Date/Time: Unknown (Prior to February 22, 2018)
- Vector: Cloud Native Misconfiguration (Unprotected Amazon S3 Bucket)
- Details: Attackers identified an Amazon S3 storage bucket associated with the LA Times website that had unrestricted public read/write access. This misconfiguration allowed them to modify site files.
### Lateral Movement
- Details: Not explicitly required for this attack vector, as the direct upload to the publicly accessible S3 bucket allowed immediate impact on the serving website.
### Data Exfiltration/Impact
- Impact: Resource Hijacking (Cryptojacking). Attackers injected CoinHive's Monero-mining JavaScript code onto the interactive homicide map page, forcing site visitors to mine cryptocurrency for the threat actors.
### Detection & Response
- Detection: Other security researchers or external parties discovered the injected script and left a reference file named "BugDisclosure.txt" in the compromised S3 bucket, alerting the organization.
- Response actions taken: Securing the S3 bucket and removing the malicious script (Implied, as the issue was publicly reported as resolved shortly after).
## Attack Methodology
- Initial Access: Cloud Native Misconfiguration (Unrestricted public access to an AWS S3 bucket).
- Persistence: Not explicitly detailed, but modification of site files via S3 grants direct serving persistence until remediation.
- Privilege Escalation: N/A (Leveraged existing, overly permissive configuration).
- Defense Evasion: The script was served directly from the compromised cloud storage, potentially bypassing traditional web application firewalls designed to catch uploads, but not file serving.
- Credential Access: None reported.
- Discovery: Reconnaissance likely focused on finding misconfigured cloud assets related to the domain.
- Lateral Movement: Not applicable.
- Collection: N/A (No data exfiltration occurred).
- Exfiltration: N/A.
- Impact: Resource Hijacking (Co-opting victim CPU resources for cryptocurrency mining).
## Impact Assessment
- Financial: Costs associated with remediation and potential unplanned resource usage/monitoring.
- Data Breach: No sensitive data exfiltration was reported, only resource hijacking.
- Operational: Minor operational impact from increased server load/monitoring, but the core news service continued to function while the map page was compromised.
- Reputational: Negative impact due to compromised user security and trust.
## Indicators of Compromise
- Network indicators: Connections to CoinHive mining pool infrastructure (Defanged: Connections to known CoinHive domains).
- File indicators: Presence of `coinhive.min.js` or similar JavaScript payloads on website assets served from S3. Specifically, the presence of "BugDisclosure.txt" in the S3 bucket.
- Behavioral indicators: Increased CPU utilization reported by legitimate visitors accessing the affected web page.
## Response Actions
- Containment measures: Immediately locking down the exposed Amazon S3 bucket permissions to private/restricted access.
- Eradication steps: Removing the injected cryptocurrency mining script from the compromised website files hosted on S3.
- Recovery actions: Verifying the integrity of all assets served from the cloud storage solution.
## Lessons Learned
- Cloud configuration security is as critical as application security, as misconfigured S3 buckets can directly lead to website content manipulation.
- The incident demonstrates that allowing write access to buckets serving live website assets is an extreme security risk.
- The potential for exploitation was higher than what was initially realized (hackers could have deployed password stealers).
## Recommendations
- Implement mandatory "least privilege" access controls for all cloud storage buckets (S3).
- Regularly audit all cloud resources (AWS, Azure, GCP) for public read/write access, especially those linked to dynamic website content.
- Utilize Infrastructure as Code (IaC) where storage policies are standardized and automatically validated against security baselines before deployment.