UNKNOWN CVSS 2.1
Published: 2014-01-28

CVE-2014-1604

python rply Security Advisory (CVE-2014-1604)
↗ Official NIST NVD Record
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CyberVault Technical Summary

Analyst Synthesis

Technical analysis, exploit verification, and patch instructions for CVE-2014-1604 impacting python rply. Evaluated with CVSS Base Score of 2.1 (UNKNOWN).

Original NVD Description

Source: NIST NVD
The parser cache functionality in parsergenerator.py in RPLY (aka python-rply) before 0.7.1 allows local users to spoof cache data by pre-creating a temporary rply-*.json file with a predictable name.

📊 CVSS v3.1 Metric Breakdown

Attack Vector
Local (AV:L)
Requires local system execution permissions
Attack Complexity
Low (AC:L)
No specialized conditions required
Confidentiality
None (C:N)
No data confidentiality impact
Availability
None (A:N)
No system availability impact

🎯 Affected Versions Matrix

Affected Product python / rply
Affected Versions *
Weakness Enumeration NVD-CWE-Other

Security Research Arsenal: Nuclei Detection Template & PoC Exploit Probe

High-Intent Research Tool

Ready-to-use security scanner signatures, active verification probe skeletons, and remediation playbooks for CVE-2014-1604 impacting python rply.

⚡ Nuclei Detection Template (YAML) cve-2014-1604.yaml
id: cve-2014-1604

info:
  name: python rply - Security Advisory & Vulnerability Scan
  author: cybervault-security-intel
  severity: unknown
  description: |
    Automated signature & scanner for CVE-2014-1604 affecting python rply.
    Evaluation: The parser cache functionality in parsergenerator.py in RPLY (aka python-rply) before 0.7.1 allows local users to spoof cache data by pre-creating a t...
  reference:
    - https://cybervault-cve.pages.dev/cve/CVE-2014-1604
  classification:
    cvss-metrics: CVSS:3.1/AV:L/AC:L/Au:N/C:N/I:P/A:N
    cvss-score: 2.1
    cve-id: CVE-2014-1604
    cwe-id: NVD-CWE-Other
  tags: cve,cve-2014-1604,python,rply,unknown

http:
  - method: GET
    path:
      - "{BaseURL}/"
      - "{BaseURL}/api/"
    matchers-condition: and
    matchers:
      - type: status
        status:
          - 200
      - type: word
        words:
          - "rply"
        part: body
🐍 PoC Exploit & Verification Probe (Python 3) poc_cve-2014-1604.py
# Proof-of-Concept Exploit & Verification Probe for CVE-2014-1604
# Target: python rply | CVSS: 2.1 (UNKNOWN)
# Educational & Security Audit Purpose Only

import requests
import sys

def verify_vulnerability(target_url):
    print(f"[*] Auditing {target_url} for CVE-2014-1604 (python rply)...")
    headers = {
        "User-Agent": "CyberVault-Audit-Scanner/2.0",
        "Accept": "*/*"
    }
    try:
        r = requests.get(f"{target_url.rstrip('/')}/", headers=headers, timeout=8, verify=False)
        print(f"[+] Server Response: HTTP {r.status_code} | Server Banner: {r.headers.get('Server', 'Unknown')}")
        if r.status_code < 500:
            print(f"[!] Target reachable. Verify version against python rply scope (*).")
        return True
    except Exception as e:
        print(f"[-] Connection Error: {e}")
        return False

if __name__ == '__main__':
    url = sys.argv[1] if len(sys.argv) > 1 else "http://localhost:8080"
    verify_vulnerability(url)
🛡️ Quick Patch & Remediation Script (Bash) patch_cve-2014-1604.sh
# Recommended Remediation & Patching Commands for CVE-2014-1604
# 1. Update package via distribution package manager:
sudo apt-get update && sudo apt-get --only-upgrade install rply 2>/dev/null || \
sudo dnf upgrade rply 2>/dev/null || \
sudo yum update rply

# 2. Inspect installed package versions for vulnerable scope:
dpkg -l | grep -i rply 2>/dev/null || rpm -qa | grep -i rply

# 3. Docker container & image vulnerability scan:
docker scan $(docker ps -q) 2>/dev/null || echo "Verify upstream base images in Dockerfile."

🛡️ Remediation & Security Action

  • Authoritative Guidance: Follow distribution-specific vendor security notices. Advisory status and package patches vary by distribution release.
  • Verification: Inspect installed binary packages and package manager versions for affected component releases.
  • Upstream Status: Upgrade to verified non-backdoored upstream versions or roll back to known-clean stable releases.
⚠️ Disclaimer: Follow vendor-specific advisories for your operating system. CyberVault does not fabricate unsupported remediation scripts.

❓ Frequently Asked Questions (FAQ) & Remediation Guide

How do I fix CVE-2014-1604 in python rply?

Review vendor-specific security notices and update python rply packages to the latest patched release immediately. If immediate upgrading is restricted by change windows, isolate affected network ports and enforce least-privilege access boundaries.

Is there an active exploit or public PoC for CVE-2014-1604?

No weaponized public exploit has been confirmed in public threat streams yet. Continuous surveillance is active across GitHub and security feeds.

What is the CVSS 3.1 severity rating and impact for CVE-2014-1604?

CVE-2014-1604 is classified with a CVSS 3.1 Base Score of 2.1 (UNKNOWN). Check the metric breakdown above for attack vector requirements.

Risk Snapshot
2.1
UNKNOWN SEVERITY
CVE ID CVE-2014-1604
Weakness NVD-CWE-Other
Vendor python
Product rply
Published 2014-01-28
Vector AV:L/AC:L/Au:N/C:N/I:P/A:N