agent-coderag: Gradle Wrapper Execution During Dependency Discovery Enables Arbitrary Code Execution
## Gradle Wrapper Execution During Dependency Discovery Enables Arbitrary Code Execution ### Summary `agent-coderag` unconditionally executes a repository-controlled `gradlew` script during its default `sync` dependency-discovery flow. An attacker who can induce a victim to index a malicious Gradle repository (one containing `build.gradle` and a cr...
CVSS 8.6 MEDIUM. SENTINEL APEX recommends immediate patch evaluation. Intelligence from 1 confirmed source(s).
๐ Executive Summary
CYBERDUDEBIVASH SENTINEL APEX has confirmed a MEDIUM-tier threat intelligence signal for GHSA-0bb74912db9d80c8 affecting pip agent-coderag. Composite threat score: 53/100. Intelligence corroborated across 1 source(s): github_advisories. CVSS base score: 8.6. Exploitation probability assessed as HIGH based on vulnerability characteristics.
โ ๏ธ Business Impact Analysis
- โ ๏ธ Privilege escalation โ local attacker can become SYSTEM/root
๐ Attack Chain Analysis
Step-by-step attack chain based on observed TTPs and vulnerability characteristics:
| # | Phase | Attacker Action | MITRE |
|---|---|---|---|
1 |
Reconnaissance | Attacker identifies exposed agent-coderag instances via Shodan, Censys, or targeted scanning | TA0043 |
2 |
Initial Access | Unauthenticated exploitation โ no credentials required. Single HTTP request sufficient | T1190 |
3 |
Execution | Remote code execution achieved โ attacker runs arbitrary commands on target system | T1203 |
4 |
Privilege Escalation | Local privilege escalation to SYSTEM/root for full control | T1068 |
5 |
Persistence | Backdoor, scheduled task, or new admin account created for persistent access | T1053 |
6 |
Command & Control | Attacker establishes persistent C2 channel using HTTPS or DNS tunneling | T1071 |
7 |
Impact / Objectives | Intellectual property theft, espionage, cryptomining, or preparation for future attack stage | T1657 |
โ Deep Dive Analysis
This high-severity vulnerability in pip agent-coderag (CVSS 8.6) represents a significant attack surface. SENTINEL APEX assesses exploitation to be technically feasible with moderate effort. Organizations running agent-coderag in internet-facing or privileged positions face immediate risk.
SENTINEL APEX URGENCY: HIGH. Score: 53/100 MEDIUM. Patch before exploitation activity begins.
๐ฏ MITRE ATT&CK Mapping
| Category | Mapping |
|---|---|
| Primary Tactic | ML Attack Staging |
| Primary Technique | AML.T0040 โ ML Attack Staging |
| Sub-Technique | AML.T0000 โ AI/ML System Enumeration |
| Weakness (CWE) | CWE-78 |
| Intel Type | ๐ด CVE ANALYSIS |
| Source(s) | github_advisories |
๐ Detection Rules โ Sigma (SIEM)
Deploy to Splunk, Elastic, Microsoft Sentinel, or QRadar. SOC Pro subscribers receive pre-compiled SIEM-native query packs updated with each pipeline run.
๐ก Detection Rules โ YARA (Endpoint)
Deploy to endpoint detection platforms. Enterprise subscribers receive tuned, FP-validated YARA rule packs.
๐ก๏ธ SOC Response Playbook
- 1IMMEDIATE (0-1hr): Identify all instances of agent-coderag in your environment via CMDB/asset inventory
- 2IMMEDIATE (0-1hr): Apply vendor patch โ no maintenance window exception for MEDIUM threats
- 3IMMEDIATE (1-2hr): If no patch available: implement WAF rules, ACLs, or network-level compensating controls
- 4SHORT-TERM (2-4hr): Deploy Sigma detection rule to SIEM โ validate alert generation in test environment
- 5SHORT-TERM (4-8hr): Review logs for exploitation indicators (anomalous agent-coderag requests, error spikes)
- 6SHORT-TERM (8-24hr): Hunt for post-exploitation: new admin accounts, scheduled tasks, lateral movement
- 7MONITOR: Subscribe to pip security advisories for patch updates
- 8ONGOING: Track SENTINEL APEX intelligence feed for follow-on campaigns targeting agent-coderag
๐ Intelligence References
- github.com/advisories/GHSA-wg5p-8h9p-3mr7
- github.com/naranor/agent-coderag/security/advisories/GHSA-wg5p-8h9p-3m
- github.com/advisories/GHSA-wg5p-8h9p-3mr7
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Report ID: SENTINEL-GHSA-0bb74912db9d80c8-2026-06-19 | Priority: 53/100 MEDIUM | Sources: 1
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