MEDIUM CVSS 4.3
Published: 2022-08-29

CVE-2022-2080

automattic sensei_lms Security Advisory (CVE-2022-2080)
↗ Official NIST NVD Record
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CyberVault Technical Summary

Analyst Synthesis

Technical analysis, exploit verification, and patch instructions for CVE-2022-2080 impacting automattic sensei_lms. Evaluated with CVSS Base Score of 4.3 (MEDIUM).

Original NVD Description

Source: NIST NVD
The Sensei LMS WordPress plugin before 4.5.2 does not ensure that the sender of a private message is either the teacher or the original sender, allowing any authenticated user to send messages to arbitrary private conversation via a IDOR attack. Note: Attackers are not able to see responses/messages between the teacher and student

📊 CVSS v3.1 Metric Breakdown

Attack Vector
Network (AV:N)
Exploitable remotely across internet boundaries
Attack Complexity
Low (AC:L)
No specialized conditions required
Privileges Required
Low (PR:L)
Standard user access required
User Interaction
None (UI:N)
Zero human interaction required
Scope
Unchanged (S:U)
Confined to same security context
Confidentiality
None (C:N)
No data confidentiality impact
Integrity
Low (I:L)
Partial data modification possible
Availability
None (A:N)
No system availability impact

🎯 Affected Versions Matrix

Affected Product automattic / sensei_lms
Affected Versions *
Weakness Enumeration CWE-639

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-2022-2080 impacting automattic sensei_lms.

⚡ Nuclei Detection Template (YAML) cve-2022-2080.yaml
id: cve-2022-2080

info:
  name: automattic sensei_lms - Security Advisory & Vulnerability Scan
  author: cybervault-security-intel
  severity: medium
  description: |
    Automated signature & scanner for CVE-2022-2080 affecting automattic sensei_lms.
    Evaluation: The Sensei LMS WordPress plugin before 4.5.2 does not ensure that the sender of a private message is either the teacher or the original sender, allowi...
  reference:
    - https://cybervault-cve.pages.dev/cve/CVE-2022-2080
  classification:
    cvss-metrics: CVSS:3.1/CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:N
    cvss-score: 4.3
    cve-id: CVE-2022-2080
    cwe-id: CWE-639
  tags: cve,cve-2022-2080,automattic,sensei_lms,medium

http:
  - method: GET
    path:
      - "{BaseURL}/"
      - "{BaseURL}/api/"
    matchers-condition: and
    matchers:
      - type: status
        status:
          - 200
      - type: word
        words:
          - "sensei_lms"
        part: body
🐍 PoC Exploit & Verification Probe (Python 3) poc_cve-2022-2080.py
# Proof-of-Concept Exploit & Verification Probe for CVE-2022-2080
# Target: automattic sensei_lms | CVSS: 4.3 (MEDIUM)
# Educational & Security Audit Purpose Only

import requests
import sys

def verify_vulnerability(target_url):
    print(f"[*] Auditing {target_url} for CVE-2022-2080 (automattic sensei_lms)...")
    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 automattic sensei_lms 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-2022-2080.sh
# Recommended Remediation & Patching Commands for CVE-2022-2080
# 1. Update package via distribution package manager:
sudo apt-get update && sudo apt-get --only-upgrade install sensei_lms 2>/dev/null || \
sudo dnf upgrade sensei_lms 2>/dev/null || \
sudo yum update sensei_lms

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

# 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.

🔗 Verified Technical References

❓ Frequently Asked Questions (FAQ) & Remediation Guide

How do I fix CVE-2022-2080 in automattic sensei_lms?

Review vendor-specific security notices and update automattic sensei_lms 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-2022-2080?

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-2022-2080?

CVE-2022-2080 is classified with a CVSS 3.1 Base Score of 4.3 (MEDIUM). Check the metric breakdown above for attack vector requirements.

Risk Snapshot
4.3
MEDIUM SEVERITY
CVE ID CVE-2022-2080
Weakness CWE-639
Vendor automattic
Product sensei_lms
Published 2022-08-29
Vector CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:N