CVE-2024-13985 (GCVE-0-2024-13985)
Vulnerability from cvelistv5 – Published: 2025-08-27 21:23 – Updated: 2026-05-15 11:14 Unsupported When Assigned X_Known Exploited VulnerabilityTitle
Dahua EIMS capture_handle.action RCE
Summary
A command injection vulnerability in Dahua EIMS versions prior to 2240008 allows unauthenticated remote attackers to execute arbitrary system commands via the capture_handle.action interface. The flaw stems from improper input validation in the captureCommand parameter, which is processed without sanitization or authentication. By sending crafted HTTP requests, attackers can inject OS-level commands that are executed on the server, leading to full system compromise. Exploitation evidence was first observed by the Shadowserver Foundation on 2024-04-06 UTC.
Severity
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-08-28 13:58 UTC
CWE
- CWE-78 - Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')
Assigner
References
8 references
| URL | Tags |
|---|---|
| https://support.dahuatech.com/bulletin/info?IsDpV… | vendor-advisory |
| https://cn-sec.com/archives/2554372.html | technical-descriptionexploit |
| https://blog.csdn.net/weixin_43567873/article/det… | technical-descriptionexploit |
| https://github.com/ahisec/nuclei-tps/blob/main/ht… | technical-descriptionexploit |
| https://s4e.io/tools/dahua-eims-remote-code-execution | third-party-advisory |
| https://pentest-tools.com/vulnerabilities-exploit… | third-party-advisory |
| https://www.cnvd.org.cn/flaw/show/CNVD-2024-17054 | third-party-advisory |
| https://www.vulncheck.com/advisories/dahua-eims-rce | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Zhejiang Dahua Technology Co., Ltd. | EIMS |
Affected:
0 , < 2240008
(custom)
|
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: dfde00b4-00f6-4a2e-9191-64b54bb99f4e
Exploited: Yes
Timestamps
First Seen: 2026-03-06
Asserted: 2026-03-06
Scope
Notes: Dahua EIMS capture_handle.action RCE | Affected: Zhejiang Dahua Technology / EIMS | CVSS: 10.0 (CRITICAL) | EPSS: 0.15095 | 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 EIMS capture_handle.action RCE |
| Cve Id | CVE-2024-13985 |
| Vendor | Zhejiang Dahua Technology |
| Ghsa Id | None |
| Product | EIMS |
| Added Date | 2026-03-06T00:00:00.000Z |
| Cvss Score | 10.0 |
| Epss Score | 0.15095 |
| Previous Ids | |
| Cvss Severity | CRITICAL |
| Virtual Patch | False |
| Cvss Estimated | False |
| Epss Percentile | 0.96636 |
| Used In Malware | unknown |
| Vulnerability Id | CVE-2024-13985 |
| 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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