CVE-2025-40933: CWE-340 Generation of Predictable Numbers or Identifiers in KGOLDOV Apache::AuthAny
Apache::AuthAny::Cookie v0.201 or earlier for Perl generates session ids insecurely. Session ids are generated using an MD5 hash of the epoch time and a call to the built-in rand function. The epoch time may be guessed, if it is not leaked from the HTTP Date header. The built-in rand function is unsuitable for cryptographic usage. Predicable session ids could allow an attacker to gain access to systems.
AI Analysis
Technical Summary
CVE-2025-40933 identifies a security vulnerability in the Apache::AuthAny::Cookie Perl module version 0.201 or earlier, developed by KGOLDOV. The vulnerability arises from the insecure generation of session identifiers (session IDs), which are critical for maintaining authenticated user sessions. Specifically, the module generates session IDs by computing an MD5 hash over the current epoch time combined with a call to Perl's built-in rand() function. Both components are insufficient for cryptographic security: the epoch time can be approximated or guessed, especially if the HTTP Date header is accessible, and the built-in rand() function is not designed to produce cryptographically secure random numbers. This predictability in session ID generation allows an attacker to potentially guess or reproduce valid session IDs, thereby hijacking user sessions without needing to authenticate. Such session fixation or session hijacking attacks can lead to unauthorized access to sensitive systems or data. Although no known exploits are currently reported in the wild, the vulnerability is publicly disclosed and should be treated seriously given the fundamental role of session IDs in web authentication. The absence of a CVSS score indicates that the vulnerability has not yet been formally scored, but the technical details clearly demonstrate a weakness in confidentiality and integrity protections due to predictable session tokens.
Potential Impact
For European organizations, this vulnerability poses a significant risk to web applications or services that rely on the Apache::AuthAny::Cookie module for session management. Exploitation could lead to unauthorized access to user accounts, data breaches, and potential lateral movement within internal networks. This is particularly critical for sectors handling sensitive personal data under GDPR, such as finance, healthcare, and government services. Compromise of session integrity could result in exposure of personal data, financial fraud, or disruption of critical services. Additionally, organizations may face regulatory penalties and reputational damage if such vulnerabilities lead to data breaches. Given the widespread use of Perl in legacy and specialized web applications across Europe, the impact could be broad if unpatched systems remain in production.
Mitigation Recommendations
Organizations should immediately audit their use of the Apache::AuthAny::Cookie module, especially versions 0.201 or earlier. The primary mitigation is to upgrade to a patched version of the module once available or replace the session ID generation mechanism with a cryptographically secure pseudorandom number generator (CSPRNG), such as those provided by Perl modules like Crypt::Random or using system-level entropy sources. Avoid reliance on predictable inputs like epoch time and the built-in rand() function for security tokens. Additionally, implement defense-in-depth controls such as enforcing HTTPS to protect session cookies in transit, setting secure and HttpOnly flags on cookies, and employing session expiration and re-authentication policies. Monitoring for anomalous session activity and implementing multi-factor authentication can further reduce risk. Since no patch links are currently available, organizations should consider isolating vulnerable services or applying custom fixes until official updates are released.
Affected Countries
Germany, France, United Kingdom, Italy, Spain, Netherlands, Poland, Sweden
CVE-2025-40933: CWE-340 Generation of Predictable Numbers or Identifiers in KGOLDOV Apache::AuthAny
Description
Apache::AuthAny::Cookie v0.201 or earlier for Perl generates session ids insecurely. Session ids are generated using an MD5 hash of the epoch time and a call to the built-in rand function. The epoch time may be guessed, if it is not leaked from the HTTP Date header. The built-in rand function is unsuitable for cryptographic usage. Predicable session ids could allow an attacker to gain access to systems.
AI-Powered Analysis
Technical Analysis
CVE-2025-40933 identifies a security vulnerability in the Apache::AuthAny::Cookie Perl module version 0.201 or earlier, developed by KGOLDOV. The vulnerability arises from the insecure generation of session identifiers (session IDs), which are critical for maintaining authenticated user sessions. Specifically, the module generates session IDs by computing an MD5 hash over the current epoch time combined with a call to Perl's built-in rand() function. Both components are insufficient for cryptographic security: the epoch time can be approximated or guessed, especially if the HTTP Date header is accessible, and the built-in rand() function is not designed to produce cryptographically secure random numbers. This predictability in session ID generation allows an attacker to potentially guess or reproduce valid session IDs, thereby hijacking user sessions without needing to authenticate. Such session fixation or session hijacking attacks can lead to unauthorized access to sensitive systems or data. Although no known exploits are currently reported in the wild, the vulnerability is publicly disclosed and should be treated seriously given the fundamental role of session IDs in web authentication. The absence of a CVSS score indicates that the vulnerability has not yet been formally scored, but the technical details clearly demonstrate a weakness in confidentiality and integrity protections due to predictable session tokens.
Potential Impact
For European organizations, this vulnerability poses a significant risk to web applications or services that rely on the Apache::AuthAny::Cookie module for session management. Exploitation could lead to unauthorized access to user accounts, data breaches, and potential lateral movement within internal networks. This is particularly critical for sectors handling sensitive personal data under GDPR, such as finance, healthcare, and government services. Compromise of session integrity could result in exposure of personal data, financial fraud, or disruption of critical services. Additionally, organizations may face regulatory penalties and reputational damage if such vulnerabilities lead to data breaches. Given the widespread use of Perl in legacy and specialized web applications across Europe, the impact could be broad if unpatched systems remain in production.
Mitigation Recommendations
Organizations should immediately audit their use of the Apache::AuthAny::Cookie module, especially versions 0.201 or earlier. The primary mitigation is to upgrade to a patched version of the module once available or replace the session ID generation mechanism with a cryptographically secure pseudorandom number generator (CSPRNG), such as those provided by Perl modules like Crypt::Random or using system-level entropy sources. Avoid reliance on predictable inputs like epoch time and the built-in rand() function for security tokens. Additionally, implement defense-in-depth controls such as enforcing HTTPS to protect session cookies in transit, setting secure and HttpOnly flags on cookies, and employing session expiration and re-authentication policies. Monitoring for anomalous session activity and implementing multi-factor authentication can further reduce risk. Since no patch links are currently available, organizations should consider isolating vulnerable services or applying custom fixes until official updates are released.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- CPANSec
- Date Reserved
- 2025-04-16T09:05:34.363Z
- Cvss Version
- null
- State
- PUBLISHED
Threat ID: 68cac5e01f355dcd5a94ad8e
Added to database: 9/17/2025, 2:29:52 PM
Last enriched: 9/17/2025, 2:30:24 PM
Last updated: 9/17/2025, 3:46:16 PM
Views: 3
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