Vulnerability-Lookup

CNVD-2026-28542

Vulnerability from cnvd - Published: 2026-07-21

Title

Hikvision DS-2 series cameras信息泄露漏洞

Description

Hikvision DS-2 series cameras是海康威视系列摄像机。 Hikvision DS-2 series cameras存在信息泄露漏洞，攻击者可利用该漏洞获取设备内存中的部分信息。

Severity

中

Formal description

厂商尚未提供漏洞修复程序，请及时关注厂商更新： https://www.hikvision.com

Impacted products

Name
Hikvision DS-2 series cameras

Show details on source website

JSON

To clipboard

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    "cve": {
      "cveNumber": "CVE-2026-61392"
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  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2026-28542",
  "openTime": "2026-07-21",
  "products": {
    "product": "Hikvision DS-2 series cameras"
  },
  "serverity": "\u4e2d",
  "submitTime": "2026-07-21",
  "title": "Hikvision DS-2 series cameras\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e"
}

CVE-2026-61392 (GCVE-0-2026-61392)

Vulnerability from cvelistv5 – Published: 2026-07-22 11:03 – Updated: 2026-07-22 12:29

Summary

There is a information disclosure vulnerability in some Hikvision cameras, allowing unauthenticated attackers to obtain partial information from the device’s memory.

Severity

5.3 (Medium)


                        
                          CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N

SSVC

Exploitation: none Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-07-22 12:27 UTC

CWE

CWE-200 - Exposure of Sensitive Information to an Unauthorized Actor

Assigner

hikvision mitre root

References

1 reference

URL	Tags
https://www.hikvision.com/en/support/cybersecurit…

Impacted products

2 products

Vendor	Product	Version
Hikvision	DS-2CD Series	Affected: https://www.hikvision.com/en/support/download/firmware/security-firmware-download/ (link)
Hikvision	DS-2DE Series	Affected: https://www.hikvision.com/en/support/download/firmware/security-firmware-download/ (link)

Credits

Daniel Kaye of Inversus Labs

Show details on NVD website

JSON

To clipboard

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                "id": "CVE-2026-61392",
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                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2026-07-22T12:27:07.318701Z",
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            "attackComplexity": "LOW",
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            "baseScore": 5.3,
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            "confidentialityImpact": "LOW",
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            "privilegesRequired": "NONE",
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            "userInteraction": "NONE",
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      "references": [
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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.

Detection rules are retrieved from Rulezet.

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.

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.