PoC files

4 files

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GitHub

Analysisdeepseek-v4-pro:cloud ·

Technical assessment

The artifact is a scanner that detects exposure of the Cisco Email Security Appliance login panel. It checks for a specific HTML title and extracts the AsyncOS version, but does not contain any exploit code for CVE-2025-20393.

Backdoor review

No backdoor observed in reviewed code

The repository contains a README, a Nuclei template, and a Python script that checks for exposure of a Cisco Email Security Appliance login panel. The Python script sends an HTTP GET request to a user-supplied URL, parses the response for a known title and version string, and optionally generates HTML/PDF reports. No backdoor, trojan, or deceptive payload behavior is observed in the reviewed text. The script does not execute arbitrary commands, establish persistence, exfiltrate data, or contact attacker-controlled infrastructure beyond the user-specified target.

ClassificationScanner
Model confidence95%
AuthenticationNot required
LanguagesPythonYAML
Target softwareCisco AsyncOSCisco Secure Email GatewayCisco Secure Email and Web Manager
Attack typesdetectioninformation_disclosure
Evidence & reasoningClassification basis · observed behavior · safety review
Technical evidence

Classification basis and observed behavior

Classification basis

The Python script and Nuclei template only detect the presence of the Cisco Email Security Appliance login panel and extract version information. They do not send any payload to exploit the Spam Quarantine feature or execute arbitrary commands. The README explicitly refers to the script as an 'EXPOSURE CHECK' and a 'Scanner'.

cve_2025_20393.py:3README.md:128README.md:139

Requirements

  • Target URL of a potentially affected Cisco appliancecve_2025_20393.py:185

Observed behavior

  • Sends an HTTP GET request to the /login endpoint of the targetcve_2025_20393.py:206-212
  • Checks if the response body contains the title 'Cisco Email Security Appliance'cve_2025_20393.py:217-220
  • Extracts the AsyncOS version from the response body using a regexcve_2025_20393.py:218-221
  • Reports exposure status and optionally generates HTML/PDF reportscve_2025_20393.py:223-270
Safety-review evidence

Behaviors behind the backdoor verdict

Observables

Network Request
GET request to user-supplied URL + '/login'The script performs an HTTP GET to the target specified via -u/--url, which is the expected behavior for a vulnerability scanner or exposure checker.cve_2025_20393.py:196-212
File Creation
HTML and PDF report generation in user-specified or current directoryWhen the -r/--report flag is used, the script writes CVE-2025-20393-report.html and CVE-2025-20393-report.pdf to the specified directory. This is a documented feature and does not exhibit hidden or malicious behavior.cve_2025_20393.py:252-270
Information Disclosure
Script collects local username and hostname via getpass.getuser() and socket.gethostname()The get_reporter_name() function gathers the local OS username and hostname for inclusion in generated reports. This is a privacy consideration but is not a backdoor or trojan; the data is only used locally in the report and is not transmitted externally.cve_2025_20393.py:39-51
Review boundaries

What the analysis did not establish

  • One file (likely a GIF image) was omitted from the analysis as it was flagged as non-text media.
  • The evidence does not include any exploit code; the artifact only performs detection.
  • One file (unclassified, 35149 bytes) was not provided as readable text and was not analyzed; its content is unknown.
  • The review is limited to static analysis of the supplied text; no dynamic execution or behavioral analysis was performed.
  • The Python script imports standard libraries (requests, reportlab) and does not exhibit suspicious imports, but the review cannot guarantee the absence of supply-chain risks in those dependencies.
Model interpretation

This review is limited to the supplied PoC code and context. It does not assert that the code works or is safe to execute.

Linked vulnerabilities

1