CVE-2024-58387 (GCVE-0-2024-58387)
Vulnerability from cvelistv5 – Published: 2026-09-30 20:24 – Updated: 2026-10-01 18:52 X_Known Exploited VulnerabilityTitle
Inspur HCM Cloud Arbitrary File Read via file/download Endpoint
Summary
Inspur Haiyue HCM Cloud contains an arbitrary file read vulnerability in the /api/model_report/file/download endpoint that allows unauthenticated remote attackers to read arbitrary files by supplying unvalidated path parameters index and ext. Attackers can craft requests such as /api/model_report/file/download?index=/&ext=<path> to traverse the filesystem and disclose sensitive files including /etc/passwd, application database files, and system configuration files. Exploitation evidence was first observed by the Shadowserver Foundation on 2024-11-04 .
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-01 18:51 UTC
CWE
- CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/projectdiscovery/nuclei-templa… | technical-description |
| https://cn-sec.com/archives/3372984.html | exploit |
| https://www.vulncheck.com/advisories/inspur-hcm-c… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Inspur | Haiyue HCM Cloud |
Affected:
*
(custom)
|
guessed |
Date Public
2024-11-08 00:00
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 9b8b4f21-4bf9-4266-a19c-10cc361861fd
Exploited: Yes
Timestamps
First Seen: 2026-09-30
Asserted: 2026-09-30
Scope
Notes: Inspur HCM Cloud Arbitrary File Read via file/download Endpoint | Affected: Inspur / Haiyue HCM Cloud | CVSS: 8.7 (HIGH) | Used in malware: unknown | Not yet in CISA KEV: True
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: previdian
Details
| Feed | Previdian (previdian.com) |
|---|---|
| Title | Inspur HCM Cloud Arbitrary File Read via file/download Endpoint |
| Cve Id | CVE-2024-58387 |
| Vendor | Inspur |
| Ghsa Id | GHSA-9FRQ-682F-P456 |
| Product | Haiyue HCM Cloud |
| Added Date | 2026-09-30T20:40:21.475Z |
| Cvss Score | 8.7 |
| Epss Score | None |
| Previous Ids | |
| Cvss Severity | HIGH |
| Virtual Patch | False |
| Cvss Estimated | False |
| Epss Percentile | None |
| Used In Malware | unknown |
| Vulnerability Id | CVE-2024-58387 |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | True |
References
Created: 2026-10-01 21:00 UTC
| Updated: 2026-10-01 21:00 UTC
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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