CVE-2023-54398 (GCVE-0-2023-54398)
Vulnerability from cvelistv5 – Published: 2026-09-15 16:43 – Updated: 2026-09-15 17:30 X_Known Exploited VulnerabilityTitle
Yonyou U8 Cloud Java Deserialization RCE via FileManageServlet
Summary
Yonyou U8 Cloud contains an unauthenticated Java deserialization vulnerability in the nc.impl.pub.filesystem.FileManageServlet component that allows remote unauthenticated attackers to execute arbitrary OS commands by sending a serialized payload via POST request. Attackers can exploit the doAction method, which passes raw HTTP request body data directly to ObjectInputStream.readObject() without filtering, to achieve remote code execution. Exploitation evidence was first observed by the Shadowserver Foundation on 2025-02-13.
Severity
9.8 (Critical)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-15 17:30 UTC
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://security.yonyou.com/#/noticeInfo?id=400 | vendor-advisorypatch |
| https://cn-sec.com/archives/2182384.html | technical-descriptionexploit |
| https://blog.csdn.net/qq_41904294/article/details… | technical-descriptionexploit |
| https://avd.aliyun.com/detail?id=AVD-2023-1686894 | third-party-advisory |
| https://www.yonyou.com/Global/ | product |
| https://www.vulncheck.com/advisories/yonyou-u8-cl… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Yonyou | U8 Cloud |
Affected:
1.0
(custom)
Affected: 2.0 (custom) Affected: 2.1 (custom) Affected: 2.3 (custom) Affected: 2.5 (custom) Affected: 2.6 (custom) Affected: 2.65 (custom) Affected: 2.7 (custom) Affected: 3.0 (custom) Affected: 3.1 (custom) Affected: 3.2 (custom) Affected: 3.5 (custom) Affected: 3.6 (custom) Affected: 3.6sp (custom) |
guessed |
Date Public
2023-10-17 00:00
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: a3b2ec9b-106d-45f9-bf04-8503f9fd297d
Exploited: Yes
Timestamps
First Seen: 2026-09-15
Asserted: 2026-09-15
Scope
Notes: Yonyou U8 Cloud Java Deserialization RCE via FileManageServlet | Affected: Yonyou / U8 Cloud | CVSS: 9.3 (CRITICAL) | 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 | Yonyou U8 Cloud Java Deserialization RCE via FileManageServlet |
| Cve Id | CVE-2023-54398 |
| Vendor | Yonyou |
| Ghsa Id | GHSA-R89P-QRRF-VPMC |
| Product | U8 Cloud |
| Added Date | 2026-09-15T17:00:52.437Z |
| Cvss Score | 9.3 |
| Epss Score | None |
| Previous Ids | |
| Cvss Severity | CRITICAL |
| Virtual Patch | False |
| Cvss Estimated | False |
| Epss Percentile | None |
| Used In Malware | unknown |
| Vulnerability Id | CVE-2023-54398 |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | True |
References
Created: 2026-09-16 18:00 UTC
| Updated: 2026-09-16 18:00 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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