CVE-2022-41678

Improper Authentication in Once an user is authenticated on Jolokia, he can potentially trigger arbitrary code execution

Verified by Precogs Threat Research
Last Updated: Nov 3, 2025
Base Score
8.8HIGH

Executive Summary

CVE-2022-41678 is a high severity vulnerability affecting api-security. It is classified as Improper Authentication. Ensure your systems and dependencies are patched immediately to mitigate exposure risks.

Precogs AI Insight

"Jolokia contains a vulnerability allowing authenticated users to trigger arbitrary JNDI lookups. Attackers exploit this insecure deserialization to load malicious Java classes from an attacker-controlled server, resulting in RCE. Precogs Application Security Module identifies unsafe object deserialization mechanisms."

Exploit Probability (EPSS)
High (93.0%)
Public POC
Undisclosed
Exploit Probability
Elevated (52%)
Public POC
Available
Affected Assets
api securityCWE-287

What is this vulnerability?

CVE-2022-41678 is categorized as a high Improper Authentication flaw with a CVSS base score of 8.8. Based on our vulnerability intelligence, this issue occurs when the application fails to securely handle untrusted data boundaries.

Once an user is authenticated on Jolokia, he can potentially trigger arbitrary code execution. 

In details, in ActiveMQ configurations, jetty allows org.jolokia.http.AgentServlet to handler request to /api/jolokia

org.jolokia.http.HttpRequestHandler#handlePostRequest is able to create JmxRequest through JSONObject. And calls to org.jolokia.http.HttpRequestHandler#executeRequest.

Into deeper calling stacks, org.jolokia.handler.ExecHandler#doHandleRequest can be invoked through refection. This could lead to RCE through via various mbeans. One example is unrestricted deserialization in jdk.management.jfr.FlightRecorderMXBeanImpl which exists on Java version above 11.

1 Call newRecording.

2 Call setConfiguration. And a webshell data hides in it.

3 Call startRecording.

4 Call copyTo method. The webshell will be written to a .jsp file.

The mitigation is to restrict (by default) the actions authorized on Jolokia, or disable Jolokia. A more restrictive Jolokia configuration has been defined in default ActiveMQ distribution. We encourage users to upgrade to ActiveMQ distributions version including updated Jolokia configuration: 5.16.6, 5.17.4, 5.18.0, 6.0.0.

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 Score8.8 (HIGH)
Vector StringCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
PublishedNovember 28, 2023
Last ModifiedNovember 3, 2025
Related CWEsCWE-287

Impact on Systems

Unauthorized Data Access: Attackers can bypass authorization controls to access other users' data or administrative endpoints.

Account Takeover: Broken authentication or authorization may enable full account compromise without valid credentials.

API Abuse: Exploiting this vulnerability enables mass data harvesting or destructive operations through unprotected API endpoints.

How to Fix and Mitigate CVE-2022-41678

  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

Jolokia contains a vulnerability allowing authenticated users to trigger arbitrary JNDI lookups. Attackers exploit this insecure deserialization to load malicious Java classes from an attacker-controlled server, resulting in RCE. Precogs Application Security Module identifies unsafe object deserialization mechanisms.

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
SourceAuthentication endpoint
VectorFlawed logic allows bypassing authentication checks
SinkAccess to protected resources
ImpactAccount takeover, unauthorized access

Vulnerable Code Pattern

// ❌ VULNERABLE: Improper Authentication
app.post('/login', (req, res) => {
  const { username, password } = req.body;
  // Taint sink: weak or bypassable validation
  if (username === 'admin' || password === 'secret') {
    req.session.authenticated = true;
    res.send('Logged in');
  }
});

Secure Code Pattern

// ✅ SECURE: Robust Authentication
const bcrypt = require('bcrypt');
app.post('/login', async (req, res) => {
  const { username, password } = req.body;
  const user = await db.getUser(username);
  // Sanitized validation: secure password comparison
  if (user && await bcrypt.compare(password, user.passwordHash)) {
    req.session.authenticated = true;
    res.send('Logged in');
  } else {
    res.status(401).send('Invalid credentials');
  }
});

How Precogs Detects This

Precogs API Security Engine comprehensively audits endpoints to ensure strict authentication boundaries and secure logic.\n

Related Vulnerabilitiesvia CWE-287

Is your system affected?

Precogs AI detects CVE-2022-41678 in compiled binaries, LLMs, and application layers — even without source code access.