Full Report
In January 2024, researchers at RedHunt Labs discovered that Mercedes-Benz accidentally included an access token in a one of their public GitHub repositories that granted access to an internal GitHub Enterprise server. This server contained intellectual property as well as cre...
Analysis Summary
# Incident Report: Mercedes-Benz Public Repository Secret Exposure
## Executive Summary
In January 2024, RedHunt Labs discovered that Mercedes-Benz inadvertently committed an access token to a public GitHub repository. This token granted access to an internal GitHub Enterprise server containing sensitive intellectual property and credentials for cloud infrastructure (Azure, AWS). The company responded by revoking the exposed credentials upon disclosure.
## Incident Details
- Discovery Date: January 2024
- Incident Date: September 2023 (Date token was pushed to public repo)
- Affected Organization: Mercedes-Benz
- Sector: Automotive/Manufacturing
- Geography: Global (Implied, based on corporate structure)
## Timeline of Events
### Initial Access
- **Date/Time:** September 2023 (Estimated)
- **Vector:** Accidental exposure of sensitive credentials (access token) in public source code.
- **Details:** A developer accidentally committed an access token intended for internal use into a public GitHub repository.
### Lateral Movement
- **Date/Time:** Post-September 2023, preceding January 2024 discovery.
- **Vector:** Use of the exposed GitHub token.
- **Details:** The token granted access to an internal GitHub Enterprise server, suggesting potential internal network or code access.
### Data Exfiltration/Impact
- **Date/Time:** Unknown
- **Details:** The internal GitHub Enterprise server contained intellectual property, alongside credentials for various databases and cloud services (Azure, AWS subscriptions). The full scope of data exfiltration is not detailed, but access to these assets represents a significant potential impact.
### Detection & Response
- **Date/Time:** January 2024
- **Vector:** External vendor research and responsible disclosure.
- **Details:** Researchers at RedHunt Labs discovered the exposed token and notified Mercedes-Benz. Response actions included addressing the exposed token.
## Attack Methodology
- **Initial Access:** Credential harvesting (specifically, an access token left exposed in publicly accessible source code).
- **Persistence:** N/A (The incident focused on the initial exposure vector, not long-term unauthorized access maintenance by an attacker).
- **Privilege Escalation:** N/A (The token itself granted elevated access to the internal server).
- **Defense Evasion:** N/A (The breach was due to misconfiguration/human error, not active evasion techniques).
- **Credential Access:** Direct access to a valid, non-expired access token.
- **Discovery:** N/A (The vector was an accidental placement rather than active attacker reconnaissance followed by exploitation).
- **Lateral Movement:** Accessing the internal GitHub Enterprise server, potentially leveraging the token for further access to linked resources (databases, Azure/AWS).
- **Collection:** Access to intellectual property and cloud infrastructure credentials.
- **Exfiltration:** Unknown, but the *capability* existed to exfiltrate data associated with the compromised server and cloud accounts.
- **Impact:** Unauthorized access to sensitive IP and infrastructure credentials.
## Impact Assessment
- **Financial:** Not disclosed.
- **Data Breach:** Intellectual Property; Credentials for databases, Azure, and AWS subscriptions.
- **Operational:** Access granted to core development/infrastructure resources.
- **Reputational:** Negative publicity regarding security posture and credential management.
## Indicators of Compromise
*Note: Specific IoCs like the token value or specific repository URL are omitted as they are sensitive or not provided.*
- **Network indicators:** N/A (No external C2 infrastructure detailed).
- **File indicators:** The presence of a valid access token within a publicly visible file (likely source code or configuration file).
- **Behavioral indicators:** Unauthenticated or authorized access attempts against the internal GitHub Enterprise server originating from unexpected locations or using the leaked token identity.
## Response Actions
- **Containment:** Revocation/deactivation of the exposed access token.
- **Eradication:** Unknown specific steps taken post-disclosure (assumed to involve auditing credentials across similar repos).
- **Recovery:** Unknown specific steps taken post-disclosure.
## Lessons Learned
- **Source Code Security is Paramount:** Developers must be strictly trained on not committing any secrets, keys, or authentication tokens into source code repositories, public or private.
- **Secrets Management Failure:** There was insufficient automated tooling (pre-commit hooks, secret scanning) to prevent the token from being pushed publicly.
- **Blast Radius of Secrets:** A single exposed secret granted access to significant assets, including cloud environments (Azure/AWS) and intellectual property.
## Recommendations
- **Implement Robust Secret Scanning:** Enforce automated, real-time secret scanning tools (e.g., using GitGuardian, TruffleHog, or GitHub Advanced Security Secret Scanning) configured to scan *all* repositories, immediately flagging and alerting on secrets found in public code.
- **Adopt Secrets Management Vaults:** Require the use of centralized secrets management solutions (e.g., HashiCorp Vault, Azure Key Vault) instead of embedding credentials directly into application code or configuration files.
- **Regular Credential Rotation Audits:** Implement mandatory, automated rotation policies for all service account tokens, especially those with broad permissions like access to internal code servers or cloud providers.
- **Zero Trust for Code Repositories:** Restrict read/write access patterns to repositories to only those necessary for the task, ensuring accidental exposure only impacts the smallest possible blast radius.