CVE-2020-5735 (GCVE-0-2020-5735)
Vulnerability from cvelistv5 – Published: 2020-04-08 12:42 – Updated: 2025-10-21 23:35
VLAI?
CISA KEV
Summary
Amcrest cameras and NVR are vulnerable to a stack-based buffer overflow over port 37777. An authenticated remote attacker can abuse this issue to crash the device and possibly execute arbitrary code.
Severity ?
8.8 (High)
CWE
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://www.tenable.com/security/research/tra-2020-20 | x_refsource_MISC |
| http://packetstormsecurity.com/files/157164/Amcre… | x_refsource_MISC |
Impacted products
CISA KEV
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: b1987193-7ae0-414f-81e1-7fff54f3125e
Exploited: Yes
Timestamps
First Seen: 2021-11-03
Asserted: 2021-11-03
Scope
Notes: KEV entry: Amcrest Cameras and NVR Stack-based Buffer Overflow Vulnerability | Affected: Amcrest / Cameras and Network Video Recorder (NVR) | Description: Amcrest cameras and NVR contain a stack-based buffer overflow vulnerability through port 37777 that allows an unauthenticated, remote attacker to crash the device and possibly execute code. | Required action: Apply updates per vendor instructions. | Due date: 2022-05-03 | Known ransomware campaign use (KEV): Unknown | Notes (KEV): https://nvd.nist.gov/vuln/detail/CVE-2020-5735
Evidence
Type: Vendor Report
Signal: Successful Exploitation
Confidence: 80%
Source: cisa-kev
Details
| Cwes | CWE-121 |
|---|---|
| Feed | CISA Known Exploited Vulnerabilities Catalog |
| Product | Cameras and Network Video Recorder (NVR) |
| Due Date | 2022-05-03 |
| Date Added | 2021-11-03 |
| Vendorproject | Amcrest |
| Vulnerabilityname | Amcrest Cameras and NVR Stack-based Buffer Overflow Vulnerability |
| Knownransomwarecampaignuse | Unknown |
References
Created: 2026-02-02 12:28 UTC
| Updated: 2026-02-06 07:17 UTC
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"id": "CVE-2020-5735",
"lastModified": "2024-11-21T05:34:30.377",
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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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