CVE-2023-7334 (GCVE-0-2023-7334)
Vulnerability from cvelistv5 – Published: 2026-01-15 21:44 – Updated: 2026-05-14 02:07 X_Known Exploited VulnerabilityTitle
Changjetong T+ <= 16.x GetStoreWarehouseByStore Deserialization RCE
Summary
Changjetong T+ versions up to and including 16.x contain a .NET deserialization vulnerability in an AjaxPro endpoint that can lead to remote code execution. A remote attacker can send a crafted request to /tplus/ajaxpro/Ufida.T.CodeBehind._PriorityLevel,App_Code.ashx?method=GetStoreWarehouseByStore with a malicious JSON body that leverages deserialization of attacker-controlled .NET types to invoke arbitrary methods such as System.Diagnostics.Process.Start. This can result in execution of arbitrary commands in the context of the T+ application service account. Exploitation evidence was observed by the Shadowserver Foundation as early as 2023-08-19 (UTC).
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-01-20 15:58 UTC
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://www.chanjetvip.com/product/goods/detail?i… | release-notespatch |
| https://www.freebuf.com/articles/web/381731.html | exploit |
| https://blog.csdn.net/qq_53003652/article/details… | exploit |
| https://blog.csdn.net/u010025272/article/details/… | exploit |
| https://github.com/MD-SEC/MDPOCS/blob/main/ChangJ… | exploit |
| https://www.vulncheck.com/advisories/changjetong-… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Changjetong Information Technology Co., Ltd. | T+ |
Affected:
0 , ≤ 16.*
(custom)
cpe:2.3:a:chanjetvip:t\+:*:*:*:*:*:*:*:* |
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 817de352-ce61-47c0-ba11-e537ac52a171
Exploited: Yes
Timestamps
First Seen: 2026-01-24
Asserted: 2026-01-24
Scope
Notes: Changjetong T+ <= 16.x GetStoreWarehouseByStore Deserialization RCE | Affected: Changjetong Information Technology / T+ | CVSS: 9.3 (CRITICAL) | EPSS: 0.01115 | 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 | Changjetong T+ <= 16.x GetStoreWarehouseByStore Deserialization RCE |
| Cve Id | CVE-2023-7334 |
| Vendor | Changjetong Information Technology |
| Ghsa Id | None |
| Product | T+ |
| Added Date | 2026-01-24T00:00:00.000Z |
| Cvss Score | 9.3 |
| Epss Score | 0.01115 |
| Previous Ids | |
| Cvss Severity | CRITICAL |
| Virtual Patch | False |
| Cvss Estimated | False |
| Epss Percentile | 0.64818 |
| Used In Malware | unknown |
| Vulnerability Id | CVE-2023-7334 |
| 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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"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
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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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