CVE-2021-41506 (GCVE-0-2021-41506)
Vulnerability from cvelistv5 – Published: 2022-06-30 12:43 – Updated: 2024-08-04 03:15
VLAI
EPSS
VEX
Summary
Xiaongmai AHB7008T-MH-V2, AHB7804R-ELS, AHB7804R-MH-V2, AHB7808R-MS-V2, AHB7808R-MS, AHB7808T-MS-V2, AHB7804R-LMS, HI3518_50H10L_S39 V4.02.R11.7601.Nat.Onvif.20170420, V4.02.R11.Nat.Onvif.20160422, V4.02.R11.7601.Nat.Onvif.20170424, V4.02.R11.Nat.Onvif.20170327, V4.02.R11.Nat.Onvif.20161205, V4.02.R11.Nat.20170301, V4.02.R12.Nat.OnvifS.20170727 is affected by a backdoor in the macGuarder and dvrHelper binaries of DVR/NVR/IP camera firmware due to static root account credentials in the system.
Severity
9.8 (Critical)
CWE
- n/a
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://habr.com/en/post/486856/ | x_refsource_MISC |
| https://www.xiongmaitech.com/en/index.php/news/in… | x_refsource_MISC |
| https://github.com/Snawoot/hisilicon-dvr-telnet | x_refsource_MISC |
| https://github.com/tothi/hs-dvr-telnet | x_refsource_MISC |
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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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