FKIE_CVE-2017-7921
Vulnerability from fkie_nvd - Published: 2017-05-06 00:29 - Updated: 2026-06-17 01:25
Severity
9.8 (Critical) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
9.8 (Critical) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
9.8 (Critical) - CVSS:3.1/
Summary
An Improper Authentication issue was discovered in Hikvision DS-2CD2xx2F-I Series V5.2.0 build 140721 to V5.4.0 build 160530, DS-2CD2xx0F-I Series V5.2.0 build 140721 to V5.4.0 Build 160401, DS-2CD2xx2FWD Series V5.3.1 build 150410 to V5.4.4 Build 161125, DS-2CD4x2xFWD Series V5.2.0 build 140721 to V5.4.0 Build 160414, DS-2CD4xx5 Series V5.2.0 build 140721 to V5.4.0 Build 160421, DS-2DFx Series V5.2.0 build 140805 to V5.4.5 Build 160928, and DS-2CD63xx Series V5.0.9 build 140305 to V5.3.5 Build 160106 devices. The improper authentication vulnerability occurs when an application does not adequately or correctly authenticate users. This may allow a malicious user to escalate his or her privileges on the system and gain access to sensitive information.
References
Impacted products
{
"affected": [
{
"affectedData": [
{
"product": "Hikvision Cameras",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "Hikvision Cameras"
}
]
}
],
"source": "ics-cert@hq.dhs.gov"
}
],
"cisaActionDue": "2026-03-26",
"cisaExploitAdd": "2026-03-05",
"cisaRequiredAction": "Apply mitigations per vendor instructions, follow applicable BOD 22-01 guidance for cloud services, or discontinue use of the product if mitigations are unavailable.",
"cisaVulnerabilityName": "Hikvision Multiple Products Improper Authentication Vulnerability",
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"value": "An Improper Authentication issue was discovered in Hikvision DS-2CD2xx2F-I Series V5.2.0 build 140721 to V5.4.0 build 160530, DS-2CD2xx0F-I Series V5.2.0 build 140721 to V5.4.0 Build 160401, DS-2CD2xx2FWD Series V5.3.1 build 150410 to V5.4.4 Build 161125, DS-2CD4x2xFWD Series V5.2.0 build 140721 to V5.4.0 Build 160414, DS-2CD4xx5 Series V5.2.0 build 140721 to V5.4.0 Build 160421, DS-2DFx Series V5.2.0 build 140805 to V5.4.5 Build 160928, and DS-2CD63xx Series V5.0.9 build 140305 to V5.3.5 Build 160106 devices. The improper authentication vulnerability occurs when an application does not adequately or correctly authenticate users. This may allow a malicious user to escalate his or her privileges on the system and gain access to sensitive information."
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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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