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@pixeebot pixeebot bot commented Nov 22, 2024

I've reviewed the recently opened PR (61 - empty) and have identified some area(s) that could benefit from additional hardening measures.

These changes should help prevent potential security vulnerabilities and improve overall code quality.

Thank you for your consideration!
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@pixeebot pixeebot bot requested a review from confusedcrib as a code owner November 22, 2024 20:20
# 7 - Server-Side Request Forgery (SSRF)
elif 'url' in request.form:
url = request.form['url']
try:
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Add timeout to requests call


# Get public IP of person, for more analysis etc. (Check if you have hit gov, military ip space LOL)
self.publicIP = requests.get('https://api.ipify.org').text
self.publicIP = requests.get('https://api.ipify.org', timeout=60).text
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Add timeout to requests call

headers = {"Authorization": f"Bearer {api_token}"}
API_URL = f"https://api-inference.huggingface.co/models/{model_id}"
response = requests.post(API_URL, headers=headers, json={"inputs": payload})
response = requests.post(API_URL, headers=headers, json={"inputs": payload}, timeout=60)
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Add timeout to requests call

# Use lxml to parse the XML data
parser = etree.XMLParser(load_dtd=True, resolve_entities=True)
tree = etree.fromstring(xml_data.encode(), parser)
parser = etree.XMLParser(load_dtd=True, resolve_entities=False)
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Call lxml.etree.parse and lxml.etree.fromstring with a safe parser.

url = request.form['url']
try:
response = requests.get(url)
response = safe_requests.get(url, timeout=60)
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Switch use of requests for security.safe_requests

flask==3.0.2
#cryptograpy==3.3.2
#cryptograpy==3.3.2
security==1.3.1
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This library holds security tools for protecting Python API calls.

License: MITOpen SourceMore facts

if 'command' in request.form:
cmd = request.form['command']
process = subprocess.Popen(cmd, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
process = safe_command.run(subprocess.Popen, cmd, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
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Replaces subprocess.{func} with more secure safe_command library functions.

# Use lxml to parse the XML data
parser = etree.XMLParser(load_dtd=True, resolve_entities=True)
tree = etree.fromstring(xml_data.encode(), parser)
parser = etree.XMLParser(load_dtd=True, resolve_entities=False)
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Replace lxml parser parameters with safe defaults.

@dryrunsecurity
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DryRun Security Summary

The provided code changes cover a mix of security improvements, such as input validation and vulnerability mitigation, as well as the concerning introduction of ransomware functionality, which should not be merged or deployed as it poses a significant risk to the security and privacy of users.

Expand for full summary

Summary:

The provided code changes cover various aspects of application security, with a mix of both positive and concerning developments. The changes range from improving input validation and sanitization, mitigating potential vulnerabilities like command injection and SSRF, to the introduction of a concerning ransomware implementation.

The positive changes include the use of custom wrapper functions to handle potentially dangerous operations, such as command execution and external requests, which suggests a security-conscious approach. Additionally, the removal of hardcoded AWS credentials and the mitigation of XML External Entity (XXE) injection are also welcome improvements.

However, the code still contains several unaddressed security vulnerabilities, such as SQL injection, file upload and path traversal, and cross-site scripting (XSS) issues. These vulnerabilities should be addressed to improve the overall security of the application.

The most concerning change is the introduction of ransomware functionality, which is a serious security threat. This code should not be merged or deployed, as it poses a significant risk to the security and privacy of users. As an application security engineer, I would strongly advise against the development or deployment of such malicious software.

Files Changed:

  1. llm-testing/llm-testing.py:

    • The main change is the addition of a timeout parameter to the requests.post() call in the query() function, likely to prevent the function from hanging indefinitely.
    • The code uses input and output scanners to sanitize user input and the API response, which helps mitigate potential security risks.
    • The use of a secure API token and a Vault class suggests the application has measures in place to handle sensitive information securely.
  2. insecure-app/requirements.txt:

    • A new dependency, security==1.3.1, has been added to the requirements.txt file, indicating the application may be handling sensitive data or implementing security-critical functionality.
    • The existing dependencies, such as cryptography==3.3.2, are using up-to-date and secure versions.
  3. insecure-app/ransomware.py:

    • This file implements a ransomware attack, which is a serious security threat. The code contains hardcoded AWS credentials, downloads and executes potentially malicious content, and uses techniques to ensure the ransom note remains in the foreground.
    • This code should not be merged or deployed, as it poses a significant risk to the security and privacy of users.
  4. insecure-app/app.py:

    • The code changes introduce several security improvements, such as mitigating command injection, XXE injection, and SSRF vulnerabilities, as well as removing hardcoded AWS credentials.
    • However, the application still contains SQL injection, file upload and path traversal, and XSS vulnerabilities that need to be addressed.

Code Analysis

We ran 9 analyzers against 4 files and 1 analyzer had findings. 8 analyzers had no findings.

Analyzer Findings
Sensitive Files Analyzer 1 finding

Riskiness

🟢 Risk threshold not exceeded.

View PR in the DryRun Dashboard.

@socket-security
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New dependencies detected. Learn more about Socket for GitHub ↗︎

Package New capabilities Transitives Size Publisher
pypi/[email protected] environment, eval, filesystem, network, shell 0 145 kB clavedeluna, pixee

View full report↗︎

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❌ Jit has detected 2 important findings in this PR that you should review.
The findings are detailed below as separate comments.
It’s highly recommended that you fix these security issues before merge.

import sqlite3
import requests
from lxml import etree
import lxml.etree
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Security control: Static Code Analysis Python Semgrep

Type: Potential Xxe Vulnerability With Native Python Xml Libraries

Description: Found use of the native Python XML libraries, which is vulnerable to XML external entity (XXE)
attacks. The Python documentation recommends the 'defusedxml' library instead. Use 'defusedxml'.
See https://github.com/tiran/defusedxml for more information.

Severity: HIGH

Learn more about this issue


Jit Bot commands and options (e.g., ignore issue)

You can trigger Jit actions by commenting on this PR review:

  • #jit_ignore_fp Ignore and mark this specific single instance of finding as “False Positive”
  • #jit_ignore_accept Ignore and mark this specific single instance of finding as “Accept Risk”
  • #jit_ignore_type_in_file Ignore any finding of type "Potential XXE vulnerability with native Python XML libraries" in insecure-app/app.py; future occurrences will also be ignored.
  • #jit_undo_ignore Undo ignore command

parser = etree.XMLParser(load_dtd=True, resolve_entities=True)
tree = etree.fromstring(xml_data.encode(), parser)
parser = etree.XMLParser(load_dtd=True, resolve_entities=False)
tree = etree.fromstring(xml_data.encode(), parser, parser=lxml.etree.XMLParser(resolve_entities=False))
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Security control: Static Code Analysis Python Semgrep

Type: Potential Xxe Vulnerability With Native Python Xml Libraries

Description: Found use of the native Python XML libraries, which is vulnerable to XML external entity (XXE)
attacks. The Python documentation recommends the 'defusedxml' library instead. Use 'defusedxml'.
See https://github.com/tiran/defusedxml for more information.

Severity: HIGH

Learn more about this issue


Jit Bot commands and options (e.g., ignore issue)

You can trigger Jit actions by commenting on this PR review:

  • #jit_ignore_fp Ignore and mark this specific single instance of finding as “False Positive”
  • #jit_ignore_accept Ignore and mark this specific single instance of finding as “Accept Risk”
  • #jit_ignore_type_in_file Ignore any finding of type "Potential XXE vulnerability with native Python XML libraries" in insecure-app/app.py; future occurrences will also be ignored.
  • #jit_undo_ignore Undo ignore command

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2 participants