CVE-2007-1359
ModSecurity 2.1.0 and earlier ASCII 0x00 in POST data bypasses rules
- CVSS 6.8
- CWE-20: Improper Input Validation
- Input Validation and Sanitization
- Remote
Interpretation conflict in ModSecurity (mod_security) 2.1.0 and earlier allows remote attackers to bypass request rules via application/x-www-form-urlencoded POST data that contains an ASCIIZ (0x00) byte, which mod_security treats as a terminator even though it is still processed as normal data by some HTTP parsers including PHP 5.2.0, and possibly parsers in Perl, and Python.
- CVSS base score
- 6.8
- Published
- 2007-03-08
- OWASP
- A03 Injection
- Orthogonal defect classification
- Function
- Code defect classification
- Incorrect Functionality
- Category
- Input Validation and Sanitization
- Subcategory
- Insecure Parsing or Deserialization
- Accessibility scope
- Remote
- Impact
- Unauthorized Access
- Fixed by upgrading
- Yes
Solution
Update ModSecurity to version 2.1.1 or higher.
Vulnerable code sample
from flask import Flask, request
app = Flask(__name__)
@app.route('/submit', methods=['POST'])
def submit():
form_data = request.form.to_dict()
print("Received data:", form_data)
return "Data processed successfully", 200
if __name__ == '__main__':
app.run()Patched code sample
from flask import Flask, request
app = Flask(__name__)
@app.route('/submit', methods=['POST'])
def submit():
raw_data = request.data
if b'\x00' in raw_data:
return "Invalid input: Null byte detected", 400
form_data = request.form.to_dict()
return "Data processed successfully", 200
if __name__ == '__main__':
app.run()Cite this entry
@misc{vaitp:cve20071359,
title = {{ModSecurity 2.1.0 and earlier ASCII 0x00 in POST data bypasses rules}},
author = {Bogaerts, Fr\'ed\'eric and Ivaki, Naghmeh and Fonseca, Jos\'e},
year = {2007},
note = {VAITP Python Vulnerability Dataset, entry CVE-2007-1359},
howpublished = {\url{https://netpack.pt/vaitp/vulnerability/CVE-2007-1359/}}
}
Introducing the "VAITP dataset": a specialized repository of Python vulnerabilities and patches, meticulously compiled for the use of the security research community. As Python's prominence grows, understanding and addressing potential security vulnerabilities become crucial. Crafted by and for the cybersecurity community, this dataset offers a valuable resource for researchers, analysts, and developers to analyze and mitigate the security risks associated with Python. Through the comprehensive exploration of vulnerabilities and corresponding patches, the VAITP dataset fosters a safer and more resilient Python ecosystem, encouraging collaborative advancements in programming security.
The supreme art of war is to subdue the enemy without fighting.
Sun Tzu – “The Art of War”
:: Shaping the future through research and ingenuity ::
