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User Enumeration via Argon2 Timing Attack on Sign-In Endpoint

Moderate
andr3i1010 published GHSA-wcr9-mvr9-4qh5 Jan 31, 2026

Package

npm polarlearn (npm)

Affected versions

<= v0-PRERELEASE-15

Patched versions

None

Description

Summary

A timing attack vulnerability in the sign-in process allows unauthenticated attackers to determine if a specific email address is registered on the platform. By measuring the response time of the login endpoint, an attacker can distinguish between valid and invalid email addresses. This occurs because the server only performs the computationally expensive Argon2 password hashing if the user exists in the database. Requests for existing users take significantly longer (~650ms) than requests for non-existent users (~160ms).

Details

The vulnerability is located in the signInCredentials function within src/utils/auth/auth.ts.

The code logic follows this pattern:

  1. It queries the database for a user matching the provided email.
  2. Early Return: If the user does not exist (if (!user)), the function immediately returns the string "invcreds".
  3. Expensive Operation: If the user does exist, the code proceeds to execute const hashedPassword = await hashPassword(password, user.salt);.

The hashPassword function utilizes Argon2, which is intentionally designed to be slow and resource-intensive to prevent brute-force attacks. Because this hashing step is entirely skipped for non-existent users, the server responds several hundred milliseconds faster when an email is not in the database. This timing leakage bypasses the intended privacy of the authentication system.

PoC

To reproduce this vulnerability, follow these steps using the browser's developer tools on the PolarLearn sign-in page:

  1. Navigate to https://polarlearn.nl/auth/sign-in.
  2. Solve the CAPTCHA (if present) but do not click "Sign In".
  3. Open the Browser Console (F12) and paste the following code to measure response time:
async function testTiming(email) {
  const captchaToken = document.querySelector('[name*="response"]')?.value;
  const start = performance.now();
  await fetch('/api/v1/auth/sign-in', {
    method: 'POST',
    headers: {'Content-Type': 'application/json'},
    body: JSON.stringify({
      email: email, 
      password: 'wrong_password_123', 
      captchaToken: captchaToken
    })
  });
  const duration = (performance.now() - start).toFixed(2);
  console.log(`Email: ${email} | Response Time: ${duration}ms`);
}
  1. Test an invalid email:
    await testTiming('non-existent-user-test@example.com')
    Expected Result: ~150ms - 180ms

  2. Test a valid email:
    await testTiming('known-valid-user@example.com')
    Expected Result: ~600ms - 750ms

The consistent ~450ms+ difference confirms the ability to enumerate users.

Impact

This is an Information Disclosure vulnerability.

  • User Enumeration: Attackers can verify which individuals (e.g., employees, public figures, or targets from leaked databases) have an account on the platform.
  • Targeted Attacks: Once an account is confirmed to exist, attackers can focus their efforts on targeted phishing, password resetting, or credential stuffing against that specific email.

Severity

Moderate

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v4 base metrics

Exploitability Metrics
Attack Vector Network
Attack Complexity High
Attack Requirements None
Privileges Required None
User interaction None
Vulnerable System Impact Metrics
Confidentiality Low
Integrity None
Availability None
Subsequent System Impact Metrics
Confidentiality Low
Integrity None
Availability None

CVSS v4 base metrics

Exploitability Metrics
Attack Vector: This metric reflects the context by which vulnerability exploitation is possible. This metric value (and consequently the resulting severity) will be larger the more remote (logically, and physically) an attacker can be in order to exploit the vulnerable system. The assumption is that the number of potential attackers for a vulnerability that could be exploited from across a network is larger than the number of potential attackers that could exploit a vulnerability requiring physical access to a device, and therefore warrants a greater severity.
Attack Complexity: This metric captures measurable actions that must be taken by the attacker to actively evade or circumvent existing built-in security-enhancing conditions in order to obtain a working exploit. These are conditions whose primary purpose is to increase security and/or increase exploit engineering complexity. A vulnerability exploitable without a target-specific variable has a lower complexity than a vulnerability that would require non-trivial customization. This metric is meant to capture security mechanisms utilized by the vulnerable system.
Attack Requirements: This metric captures the prerequisite deployment and execution conditions or variables of the vulnerable system that enable the attack. These differ from security-enhancing techniques/technologies (ref Attack Complexity) as the primary purpose of these conditions is not to explicitly mitigate attacks, but rather, emerge naturally as a consequence of the deployment and execution of the vulnerable system.
Privileges Required: This metric describes the level of privileges an attacker must possess prior to successfully exploiting the vulnerability. The method by which the attacker obtains privileged credentials prior to the attack (e.g., free trial accounts), is outside the scope of this metric. Generally, self-service provisioned accounts do not constitute a privilege requirement if the attacker can grant themselves privileges as part of the attack.
User interaction: This metric captures the requirement for a human user, other than the attacker, to participate in the successful compromise of the vulnerable system. This metric determines whether the vulnerability can be exploited solely at the will of the attacker, or whether a separate user (or user-initiated process) must participate in some manner.
Vulnerable System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the VULNERABLE SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the VULNERABLE SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the VULNERABLE SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
Subsequent System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the SUBSEQUENT SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the SUBSEQUENT SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the SUBSEQUENT SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
CVSS:4.0/AV:N/AC:H/AT:N/PR:N/UI:N/VC:L/VI:N/VA:N/SC:L/SI:N/SA:N

CVE ID

CVE-2026-25222

Weaknesses

Exposure of Sensitive Information to an Unauthorized Actor

The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. Learn more on MITRE.

Credits