CVE-2014-9390

Improper Input Validation in Git before 1

Verified by Precogs Threat Research
Last Updated: Nov 21, 2024
Base Score
9.8CRITICAL

Executive Summary

CVE-2014-9390 is a critical severity vulnerability affecting appsec. It is classified as CWE-20. Ensure your systems and dependencies are patched immediately to mitigate exposure risks.

Precogs AI Insight

"Git contains a vulnerability allowing remote code execution on the client side. Attackers host a malicious Git repository containing a crafted `.git/config` file (exploiting case insensitivity on Windows/Mac file systems); when a victim clones it, their local Git configuration is overwritten to execute arbitrary commands. Precogs Application Security Module tracks file-system traversal sinks."

Exploit Probability (EPSS)
High (77.2%)
Public POC
Available
Exploit Probability
High (84%)
Public POC
Available
Affected Assets
appsecCWE-20

What is this vulnerability?

CVE-2014-9390 is categorized as a critical Improper Input Validation flaw with a CVSS base score of 9.8. Based on our vulnerability intelligence, this issue occurs when the application fails to securely handle untrusted data boundaries.

Git before 1.8.5.6, 1.9.x before 1.9.5, 2.0.x before 2.0.5, 2.1.x before 2.1.4, and 2.2.x before 2.2.1 on Windows and OS X; Mercurial before 3.2.3 on Windows and OS X; Apple Xcode before 6.2 beta 3; mine all versions before 08-12-2014; libgit2 all versions up to 0.21.2; Egit all versions before 08-12-2014; and JGit all versions before 08-12-2014 allow remote Git servers to execute arbitrary commands via a tree containing a crafted .git/config file with (1) an ignorable Unicode codepoint, (2) a git~1/config representation, or (3) mixed case that is improperly handled on a case-insensitive filesystem.

This architectural defect enables adversaries to bypass intended security controls, directly manipulating the application's execution state or data layer. Immediate strategic intervention is required.

Risk Assessment

MetricValue
CVSS Base Score9.8 (CRITICAL)
Vector StringCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
PublishedFebruary 12, 2020
Last ModifiedNovember 21, 2024
Related CWEsCWE-20

Impact on Systems

Data Exfiltration: Attackers can extract sensitive data from backend databases, configuration files, or internal services.

Authentication Bypass: Exploiting this flaw may allow unauthorized access to protected resources and administrative interfaces.

Lateral Movement: Once initial access is gained, attackers can pivot to internal systems and escalate privileges.

How to Fix and Mitigate CVE-2014-9390

  1. Apply Vendor Patches: Upgrade affected components to their latest, non-vulnerable versions immediately.
  2. Implement Input Validation: Ensure all user-supplied data is validated, sanitized, and type-checked before processing.
  3. Deploy Runtime Protection: Use Precogs continuous monitoring to detect exploitation attempts in real time.
  4. Audit Dependencies: Review and update all third-party libraries and transitive dependencies.

Defending with Precogs AI

Git contains a vulnerability allowing remote code execution on the client side. Attackers host a malicious Git repository containing a crafted .git/config file (exploiting case insensitivity on Windows/Mac file systems); when a victim clones it, their local Git configuration is overwritten to execute arbitrary commands. Precogs Application Security Module tracks file-system traversal sinks.

Use Precogs to continuously scan your codebase, binaries, APIs, and infrastructure for this vulnerability class and related attack patterns. Our AI-powered detection engine combines static analysis with threat intelligence to identify exploitable weaknesses before attackers do.

Start scanning with Precogs →

Vulnerability Code Signature

Attack Data Flow

StageDetail
SourceUntrusted User Input
VectorInput flows through the application logic without sanitization
SinkExecution or Rendering Sink
ImpactApplication compromise, Logic Bypass, Data Exfiltration

Vulnerable Code Pattern

# ❌ VULNERABLE: Unsanitized Input Flow
def process_request(request):
    user_input = request.GET.get('data')
    # Taint sink: processing untrusted data
    execute_logic(user_input)
    return {"status": "success"}

Secure Code Pattern

# ✅ SECURE: Input Validation & Sanitization
def process_request(request):
    user_input = request.GET.get('data')
    
    # Sanitized boundary check
    if not is_valid_format(user_input):
        raise ValueError("Invalid input format")
        
    sanitized_data = sanitize(user_input)
    execute_logic(sanitized_data)
    return {"status": "success"}

How Precogs Detects This

Precogs AI Analysis Engine maps untrusted input directly to execution sinks to catch complex application security vulnerabilities.\n

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CVE-2026-4860: Unsafe Deserialization in wvp-GB28181-pro

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CVE-2025-599447.5 HIGH

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CVE-2026-36415.3 MEDIUM

The Appmax plugin for WordPress is vulnerable to Improper Input Validation in all versions up to, and including, 1.

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CVE-2026-34605.3 MEDIUM

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Is your system affected?

Precogs AI detects CVE-2014-9390 in compiled binaries, LLMs, and application layers — even without source code access.