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Vulnerability Database/CVE-2025-13460

CVE-2025-13460: IBM Aspera Console Information Disclosure

CVE-2025-13460 is an information disclosure vulnerability in IBM Aspera Console that allows attackers to enumerate usernames through observable response discrepancies. This article covers technical details, affected versions, impact, and mitigation.

Published:

CVE-2025-13460 Overview

IBM Aspera Console versions 3.3.0 through 3.4.8 contain an Information Disclosure vulnerability that allows attackers to enumerate usernames through observable response discrepancies. This weakness (CWE-204) enables unauthorized users to determine valid usernames by analyzing differences in the application's responses to authentication attempts, potentially facilitating targeted attacks against legitimate accounts.

Critical Impact

Attackers can enumerate valid usernames in IBM Aspera Console, enabling targeted brute-force attacks, credential stuffing, or social engineering campaigns against identified users.

Affected Products

  • IBM Aspera Console versions 3.3.0 through 3.4.8
  • Linux Kernel (as underlying platform)
  • Microsoft Windows (as underlying platform)

Discovery Timeline

  • 2026-03-16 - CVE CVE-2025-13460 published to NVD
  • 2026-03-17 - Last updated in NVD database

Technical Details for CVE-2025-13460

Vulnerability Analysis

This vulnerability is categorized under CWE-204 (Observable Response Discrepancy), a type of information leakage that occurs when an application provides different responses based on internal state that should not be observable to external users. In the case of IBM Aspera Console, the authentication mechanism responds differently depending on whether a submitted username exists in the system or not.

The network-accessible nature of this vulnerability means that remote, unauthenticated attackers can probe the system from anywhere on the network without requiring any prior access or privileges. The low complexity of exploitation makes this vulnerability particularly dangerous, as automated tools can rapidly enumerate large lists of potential usernames.

Root Cause

The root cause lies in inconsistent error handling within the authentication subsystem of IBM Aspera Console. When processing login requests, the application generates distinguishable responses for valid versus invalid usernames. These discrepancies may manifest as:

  • Different error messages (e.g., "Invalid username" vs. "Invalid password")
  • Varying response times between valid and invalid username submissions
  • Different HTTP response codes or headers
  • Distinct page layouts or redirect behaviors

This design flaw violates the security principle of providing generic, consistent error responses regardless of which authentication factor failed.

Attack Vector

The vulnerability is exploitable over the network without authentication. An attacker would typically:

  1. Compile a list of potential usernames (common names, email formats, default accounts)
  2. Submit authentication requests to the IBM Aspera Console login endpoint
  3. Analyze the responses to identify patterns that indicate valid usernames
  4. Build a list of confirmed valid usernames for subsequent attacks

The attack requires no special privileges and can be performed with minimal technical skill using readily available tools or custom scripts. Once valid usernames are enumerated, attackers can focus credential-stuffing or brute-force attacks exclusively on known-valid accounts, significantly increasing their chances of success.

Detection Methods for CVE-2025-13460

Indicators of Compromise

  • Unusual volume of failed authentication attempts against multiple usernames from single IP addresses or ranges
  • Sequential or patterned username submissions suggesting automated enumeration
  • Rapid succession of login requests with varying usernames but minimal delay between attempts
  • Access logs showing systematic probing of common username formats

Detection Strategies

  • Implement rate limiting on authentication endpoints and alert on threshold breaches
  • Deploy web application firewalls (WAF) with rules to detect username enumeration patterns
  • Configure SIEM rules to correlate multiple failed login attempts across the user base
  • Monitor for automated tool signatures in User-Agent strings and request patterns

Monitoring Recommendations

  • Enable detailed logging on IBM Aspera Console authentication events
  • Establish baseline metrics for normal authentication failure rates and alert on deviations
  • Implement real-time monitoring of login endpoints for anomalous traffic patterns
  • Configure alerts for authentication attempts from known malicious IP addresses or geographic anomalies

How to Mitigate CVE-2025-13460

Immediate Actions Required

  • Apply the latest security patches from IBM as soon as available
  • Implement account lockout policies to limit enumeration attempts
  • Deploy rate limiting on authentication endpoints
  • Enable multi-factor authentication (MFA) to reduce the impact of username disclosure

Patch Information

IBM has released a security advisory addressing this vulnerability. Administrators should review the IBM Support Page for detailed patch information and upgrade IBM Aspera Console to a version beyond 3.4.8 that includes the security fix.

Workarounds

  • Configure web application firewalls to normalize authentication responses
  • Implement CAPTCHA or similar challenges after a small number of failed login attempts
  • Use network segmentation to limit exposure of the Aspera Console login interface
  • Consider placing the authentication endpoint behind a VPN or restricting access to trusted IP ranges
bash
# Example: Rate limiting configuration for nginx reverse proxy
# Limit login requests to 5 per minute per IP address
limit_req_zone $binary_remote_addr zone=login_limit:10m rate=5r/m;

location /aspera/login {
    limit_req zone=login_limit burst=3 nodelay;
    limit_req_status 429;
    proxy_pass http://aspera_backend;
}

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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