CVE-2025-40932: CWE-340 Generation of Predictable Numbers or Identifiers in GRICHTER Apache::SessionX
CVE-2025-40932 is a vulnerability in Apache::SessionX versions through 2. 01 for Perl, where session IDs are generated using an insecure method. The default session ID generator uses an MD5 hash seeded with the built-in rand() function, epoch time, and process ID (PID). Since the PID is from a small range and the epoch time can be guessed or leaked, the session IDs are predictable. This predictability allows attackers to potentially guess valid session IDs and hijack user sessions, compromising confidentiality and integrity. No known exploits are currently reported in the wild. The vulnerability affects applications relying on Apache::SessionX for session management, especially those exposed to untrusted networks. Mitigation requires replacing the session ID generator with a cryptographically secure random number generator. Countries with significant Perl usage and web infrastructure relying on Apache::SessionX are at higher risk. The severity is assessed as high due to the ease of exploitation and potential for unauthorized access without user interaction or authentication.
AI Analysis
Technical Summary
CVE-2025-40932 identifies a critical weakness in the Apache::SessionX Perl module, specifically in versions up to 2.01, where session identifiers are generated insecurely. The module’s default session ID generator, Apache::SessionX::Generate::MD5, creates session IDs by hashing a combination of the built-in Perl rand() function output, the current epoch time, and the process ID (PID). The rand() function in Perl is not designed for cryptographic security and produces predictable pseudo-random numbers. Additionally, the PID is drawn from a limited range of possible values, and the epoch time can often be approximated or leaked via HTTP headers such as the Date header. This combination results in session IDs that are highly predictable. An attacker who can guess or infer these values can generate valid session IDs, enabling session hijacking attacks. Such attacks can lead to unauthorized access to user accounts or sensitive data. The vulnerability is categorized under CWE-340 (Generation of Predictable Numbers or Identifiers) and CWE-338 (Use of Cryptographically Weak Pseudo-Random Number Generator). No patches or fixes are currently linked, and no known exploits have been reported in the wild. The vulnerability affects any web application using Apache::SessionX for session management, particularly those exposed to external users. Because session management is critical for maintaining user authentication and state, this vulnerability poses a significant security risk.
Potential Impact
The primary impact of this vulnerability is the potential for session hijacking, allowing attackers to impersonate legitimate users by predicting or guessing session IDs. This compromises confidentiality by exposing user sessions and potentially sensitive data. Integrity is also at risk since attackers can perform actions on behalf of users, altering data or system state. Availability impact is less direct but could arise if attackers disrupt sessions or cause denial of service through repeated session guessing attempts. Organizations relying on Apache::SessionX for session management in web applications face increased risk of unauthorized access, data breaches, and loss of user trust. The ease of exploitation, requiring no authentication or user interaction, increases the threat level. This vulnerability could be leveraged in targeted attacks against organizations with Perl-based web infrastructure, especially those that have not implemented additional session security controls. The absence of known exploits suggests the vulnerability is not yet widely weaponized, but the risk remains significant due to the fundamental nature of session management.
Mitigation Recommendations
To mitigate this vulnerability, organizations should immediately replace the default session ID generator in Apache::SessionX with a cryptographically secure random number generator, such as one based on Perl’s Crypt::Random or similar modules that provide strong entropy sources. Avoid using the built-in rand() function for any security-sensitive operations. If possible, upgrade to a newer version of Apache::SessionX that addresses this issue once available. In the interim, implement additional session security measures such as enforcing HTTPS to protect session IDs in transit, setting secure and HttpOnly flags on cookies, and employing session expiration and regeneration policies to limit session lifetime. Monitor web application logs for suspicious session activity indicative of guessing attempts. Consider deploying web application firewalls (WAFs) to detect and block anomalous session access patterns. Educate developers and administrators about secure session management best practices to prevent similar issues in the future.
Affected Countries
United States, Germany, United Kingdom, Canada, Australia, France, Netherlands, India, Japan, Brazil
CVE-2025-40932: CWE-340 Generation of Predictable Numbers or Identifiers in GRICHTER Apache::SessionX
Description
CVE-2025-40932 is a vulnerability in Apache::SessionX versions through 2. 01 for Perl, where session IDs are generated using an insecure method. The default session ID generator uses an MD5 hash seeded with the built-in rand() function, epoch time, and process ID (PID). Since the PID is from a small range and the epoch time can be guessed or leaked, the session IDs are predictable. This predictability allows attackers to potentially guess valid session IDs and hijack user sessions, compromising confidentiality and integrity. No known exploits are currently reported in the wild. The vulnerability affects applications relying on Apache::SessionX for session management, especially those exposed to untrusted networks. Mitigation requires replacing the session ID generator with a cryptographically secure random number generator. Countries with significant Perl usage and web infrastructure relying on Apache::SessionX are at higher risk. The severity is assessed as high due to the ease of exploitation and potential for unauthorized access without user interaction or authentication.
AI-Powered Analysis
Technical Analysis
CVE-2025-40932 identifies a critical weakness in the Apache::SessionX Perl module, specifically in versions up to 2.01, where session identifiers are generated insecurely. The module’s default session ID generator, Apache::SessionX::Generate::MD5, creates session IDs by hashing a combination of the built-in Perl rand() function output, the current epoch time, and the process ID (PID). The rand() function in Perl is not designed for cryptographic security and produces predictable pseudo-random numbers. Additionally, the PID is drawn from a limited range of possible values, and the epoch time can often be approximated or leaked via HTTP headers such as the Date header. This combination results in session IDs that are highly predictable. An attacker who can guess or infer these values can generate valid session IDs, enabling session hijacking attacks. Such attacks can lead to unauthorized access to user accounts or sensitive data. The vulnerability is categorized under CWE-340 (Generation of Predictable Numbers or Identifiers) and CWE-338 (Use of Cryptographically Weak Pseudo-Random Number Generator). No patches or fixes are currently linked, and no known exploits have been reported in the wild. The vulnerability affects any web application using Apache::SessionX for session management, particularly those exposed to external users. Because session management is critical for maintaining user authentication and state, this vulnerability poses a significant security risk.
Potential Impact
The primary impact of this vulnerability is the potential for session hijacking, allowing attackers to impersonate legitimate users by predicting or guessing session IDs. This compromises confidentiality by exposing user sessions and potentially sensitive data. Integrity is also at risk since attackers can perform actions on behalf of users, altering data or system state. Availability impact is less direct but could arise if attackers disrupt sessions or cause denial of service through repeated session guessing attempts. Organizations relying on Apache::SessionX for session management in web applications face increased risk of unauthorized access, data breaches, and loss of user trust. The ease of exploitation, requiring no authentication or user interaction, increases the threat level. This vulnerability could be leveraged in targeted attacks against organizations with Perl-based web infrastructure, especially those that have not implemented additional session security controls. The absence of known exploits suggests the vulnerability is not yet widely weaponized, but the risk remains significant due to the fundamental nature of session management.
Mitigation Recommendations
To mitigate this vulnerability, organizations should immediately replace the default session ID generator in Apache::SessionX with a cryptographically secure random number generator, such as one based on Perl’s Crypt::Random or similar modules that provide strong entropy sources. Avoid using the built-in rand() function for any security-sensitive operations. If possible, upgrade to a newer version of Apache::SessionX that addresses this issue once available. In the interim, implement additional session security measures such as enforcing HTTPS to protect session IDs in transit, setting secure and HttpOnly flags on cookies, and employing session expiration and regeneration policies to limit session lifetime. Monitor web application logs for suspicious session activity indicative of guessing attempts. Consider deploying web application firewalls (WAFs) to detect and block anomalous session access patterns. Educate developers and administrators about secure session management best practices to prevent similar issues in the future.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- CPANSec
- Date Reserved
- 2025-04-16T09:05:34.363Z
- Cvss Version
- null
- State
- PUBLISHED
Threat ID: 69a0dd9b32ffcdb8a288c75b
Added to database: 2/26/2026, 11:56:11 PM
Last enriched: 2/27/2026, 12:13:33 AM
Last updated: 2/27/2026, 7:01:27 AM
Views: 8
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Related Threats
CVE-2026-3302: Cross Site Scripting in SourceCodester Doctor Appointment System
MediumCVE-2026-27653: Incorrect default permissions in Soliton Systems K.K. Soliton SecureBrowser for OneGate
MediumCVE-2026-3301: OS Command Injection in Totolink N300RH
CriticalCVE-2026-3293: Inefficient Regular Expression Complexity in snowflakedb snowflake-jdbc
MediumCVE-2026-28372: CWE-829 Inclusion of Functionality from Untrusted Control Sphere in GNU inetutils
HighActions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
External Links
Need more coverage?
Upgrade to Pro Console in Console -> Billing for AI refresh and higher limits.
For incident response and remediation, OffSeq services can help resolve threats faster.
Latest Threats
Check if your credentials are on the dark web
Instant breach scanning across billions of leaked records. Free tier available.