Full Report
Grafana Labs detected suspicious activity via a triggered canary token, leading to the discovery of unauthorized access enabled by a misconfigured GitHub Action. An attacker exploited the workflow by forking a Grafana repository, injecting a malicious curl command to extract e...
Analysis Summary
# Incident Report: Grafana GitHub Action Compromise
## Executive Summary
Grafana Labs detected unauthorized access resulting from the exploitation of a misconfigured GitHub Action tied to a repository fork. An attacker successfully harvested environment variables, including credentials, by injecting malicious code. While customer data and production systems were unaffected, the compromised credentials were used to access four private repositories, prompting immediate token revocation and workflow disabling actions.
## Incident Details
- Discovery Date: Undisclosed (Implied shortly after attacker activity)
- Incident Date: Undisclosed/Occurred prior to discovery
- Affected Organization: Grafana Labs
- Sector: Software/Technology
- Geography: Undisclosed
## Timeline of Events
### Initial Access
- Date/Time: Unknown
- Vector: Misconfigured GitHub Action abuse via repository fork.
- Details: An attacker forked a Grafana repository and injected a malicious `curl` command into the GitHub workflow to extract stored environment variables (which contained credentials).
### Lateral Movement
- Date/Time: Post-exfiltration
- Vector: Reused stolen credentials.
- Details: The extracted credentials were used to gain unauthorized access to four Grafana private repositories.
### Data Exfiltration/Impact
- Date/Time: During or immediately following access.
- Vector: Encrypted data transfer.
- Details: Environment variables (credentials) were encrypted using a private key and exfiltrated. The attacker then deleted the malicious fork to cover tracks.
### Detection & Response
- Date/Time: Undisclosed
- Vector: Canary Token trigger.
- Details: Suspicious activity was detected via a triggered canary token, which led to the discovery of the unauthorized access. Response included revoking exposed tokens and disabling vulnerable workflows.
## Attack Methodology
- Initial Access: Exploitation of a misconfigured GitHub Action within a forked repository.
- Persistence: Not explicitly detailed, but maintaining access via stolen credentials for subsequent repository access.
- Privilege Escalation: N/A (The goal was credential theft, not system escalation).
- Defense Evasion: Deleting the containing repository fork immediately after exfiltration to hide the malicious activity.
- Credential Access: Extraction of environment variables containing credentials via malicious workflow execution (`curl` command).
- Discovery: N/A
- Lateral Movement: Reusing stolen credentials to access four private repositories.
- Collection: Environment variables containing credentials were collected and encrypted.
- Exfiltration: Encrypted data was sent off the platform via the malicious `curl` command.
- Impact: Unauthorized access to four private repositories via stolen credentials.
## Impact Assessment
- Financial: Not disclosed.
- Data Breach: Credentials/Environment variables were compromised. No customer data or production code was modified or lost.
- Operational: Minor disruption related to incident response and auditing.
- Reputational: Managed through proactive disclosure (implied).
## Indicators of Compromise
- Network indicators: Malicious `curl` command outbound traffic. (Specific URLs/Domains defanged for this summary)
- File indicators: Malicious repository fork (subsequently deleted).
- Behavioral indicators: Triggered canary token; unauthorized access events on private repositories using compromised tokens.
## Response Actions
- Containment measures: All exposed tokens were immediately revoked; vulnerable GitHub workflows were disabled.
- Eradication steps: Full audit conducted across the environment using tools including Trufflehog, Gato-X, and Grafana Loki.
- Recovery actions: Remediation of the misconfiguration leading to initial exploit vector.
## Lessons Learned
- Misconfigured cloud-native automation (GitHub Actions) poses a significant supply chain and credential access risk.
- Canary tokens proved effective in timely detection of unauthorized activity.
- The attacker's behavior suggested credential harvesting for potential future use, indicating an adaptive threat actor model.
## Recommendations
- Implement strict least privilege policies for all secrets and environment variables accessible by CI/CD workflows.
- Regularly audit all repository forks and associated workflow definitions for anomalous or malicious code injections.
- Enhance monitoring specifically targeting outbound data transfers (like exfiltration via `curl`) within automation pipelines that have access to secrets.