CVE-2022-50973 (GCVE-0-2022-50973)
Vulnerability from cvelistv5 – Published: 2026-07-02 17:04 – Updated: 2026-07-02 19:44 X_Known Exploited VulnerabilityTitle
Yonyou KSOA 9.0 Unauthenticated File Upload RCE via ImageUpload Servlet
Summary
Yonyou KSOA 9.0 contains an unauthenticated arbitrary file upload vulnerability in the com.sksoft.bill.ImageUpload servlet that allows unauthenticated attackers to upload arbitrary files by submitting a POST request with attacker-controlled filepath and filename parameters without any authentication, file type, extension, or content validation. Attackers can upload a JSP webshell by specifying a malicious filename and root filepath, with the uploaded file stored under the pictures directory and directly executed by the web server, resulting in unauthenticated remote code execution. Exploitation evidence was first observed by the Shadowserver Foundation on 2023-11-07 (UTC).
Severity
9.8 (Critical)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-02 19:33 UTC
CWE
- CWE-434 - Unrestricted Upload of File with Dangerous Type
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://cn-sec.com/archives/1329088.html | technical-descriptionexploit |
| https://buaq.net/go-167023.html | exploittechnical-description |
| https://www.cnblogs.com/yang-miemie/p/17714927.html | technical-descriptionexploit |
| https://www.yonyou.com/ | product |
| https://www.vulncheck.com/advisories/yonyou-ksoa-… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Yonyou Network Technology Co., Ltd. | KSOA |
Affected:
9.0
(custom)
|
Date Public
2022-10-05 00:00
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 2f98b5cc-1dc5-4f89-a7d5-3663f12881e0
Exploited: Yes
Timestamps
First Seen: 2026-08-17
Asserted: 2026-08-17
Scope
Notes: Yonyou KSOA 9.0 Unauthenticated File Upload RCE via ImageUpload Servlet | Affected: Yonyou Network Technology / KSOA | CVSS: 9.3 (CRITICAL) | EPSS: 0.01519 | 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 KSOA 9.0 Unauthenticated File Upload RCE via ImageUpload Servlet |
| Cve Id | CVE-2022-50973 |
| Vendor | Yonyou Network Technology |
| Ghsa Id | None |
| Product | KSOA |
| Added Date | 2026-08-17T00:00:00.000Z |
| Cvss Score | 9.3 |
| Epss Score | 0.01519 |
| Previous Ids | |
| Cvss Severity | CRITICAL |
| Virtual Patch | False |
| Cvss Estimated | False |
| Epss Percentile | 0.73634 |
| Used In Malware | unknown |
| Vulnerability Id | CVE-2022-50973 |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | True |
References
Created: 2026-10-02 09:09 CEST
| Updated: 2026-10-02 09:09 CEST
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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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