CVE-2023-7309 (GCVE-0-2023-7309)
Vulnerability from cvelistv5 – Published: 2025-08-27 21:23 – Updated: 2026-05-25 23:41 X_Known Exploited Vulnerability Unsupported When AssignedTitle
Dahua Smart Park Integrated Management Platform Front-End Arbitrary File Upload
Summary
A path traversal vulnerability exists in the Dahua Smart Park Integrated Management Platform (also referred to as the Dahua Smart Campus Integrated Management Platform), affecting the SOAP-based GIS bitmap upload interface. The flaw allows unauthenticated remote attackers to upload arbitrary files to the server via crafted SOAP requests, including executable JSP payloads. Successful exploitation may lead to remote code execution (RCE) and full compromise of the affected system. The vulnerability is presumed to affect builds released prior to September 2023 and is said to be remediated in newer versions of the product, though the exact affected range remains undefined. Exploitation evidence was first observed by the Shadowserver Foundation on 2024-02-15 UTC.
Severity
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-08-28 13:57 UTC
CWE
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://support.dahuatech.com/bulletin/info?IsDpV… | vendor-advisory |
| https://developer.aliyun.com/article/1333161 | technical-descriptionexploit |
| https://github.com/tequilasunsh1ne/dahua_bitmap_f… | exploit |
| https://www.vulncheck.com/advisories/dahua-smart-… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Zhejiang Dahua Technology Co., Ltd. | Smart Park Integrated Management Platform |
Affected:
0 , ≤ *
(custom)
|
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: b3da397e-a580-45a0-8db7-369e5c732119
Exploited: Yes
Timestamps
First Seen: 2025-11-11
Asserted: 2025-11-11
Scope
Notes: Dahua Smart Park Integrated Management Platform Front-End Arbitrary File Upload | Affected: Zhejiang Dahua Technology / Smart Park Integrated Management Platform | CVSS: 10.0 (CRITICAL) | EPSS: 0.00813 | 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 | Dahua Smart Park Integrated Management Platform Front-End Arbitrary File Upload |
| Cve Id | CVE-2023-7309 |
| Vendor | Zhejiang Dahua Technology |
| Ghsa Id | None |
| Product | Smart Park Integrated Management Platform |
| Added Date | 2025-11-11T00:00:00.000Z |
| Cvss Score | 10.0 |
| Epss Score | 0.00813 |
| Previous Ids | |
| Cvss Severity | CRITICAL |
| Virtual Patch | False |
| Cvss Estimated | False |
| Epss Percentile | 0.55432 |
| Used In Malware | unknown |
| Vulnerability Id | CVE-2023-7309 |
| 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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