Data Leaked: Each HTTP request can leak approximately 127 bytes of RAM content. By repeating these requests, attackers can collect sensitive data from memory, which may include:

• Session tokens (allowing session hijacking and bypassing MFA).
• Authentication data.
• Portions of previous HTTP requests.
• Plaintext credentials.
• Other sensitive information.

Script Usage

Requirements / Dependencies

Run the script

Examples

Basic usage:

Verbose with proxy:

Help -h:

How it work

This Python script:

• Send repeated malformed POST requests.
• Parse XML responses.
• Extract leaked memory from <InitialValue> fields.
• Display it in a hex-dump format like the xxd tool.
• Support optional proxying, threading and verbose output for analysis.

Impact

• Session Hijacking: The primary concern is the theft of session tokens, which allows attackers to hijack active user sessions and gain unauthorized access to critical systems, even if multi-factor authentication (MFA) is enabled.
• Bypassing Authentication: Stolen session tokens or credentials can be used to completely bypass the authentication process.
• Data Disclosure: Sensitive information residing in memory can be exposed.

Defense & Mitigation

• Update to the latest secure firmware immediately.
• Monitor for abnormal POST request patterns.

Reference

• watchTowr Blog Post - Original analysis