CVE-2023-34552 (GCVE-0-2023-34552)
Vulnerability from cvelistv5 – Published: 2023-08-01 00:00 – Updated: 2026-07-09 00:26
VLAI
EPSS
VEX
Summary
In certain EZVIZ products, two stack based buffer overflows in mulicast_parse_sadp_packet and mulicast_get_pack_type functions of the SADP multicast protocol can allow an unauthenticated attacker present on the same local network as the camera to achieve remote code execution. This affects CS-C6N-B0-1G2WF Firmware versions before V5.3.0 build 230215 and CS-C6N-R101-1G2WF Firmware versions before V5.3.0 build 230215 and CS-CV310-A0-1B2WFR Firmware versions before V5.3.0 build 230221 and CS-CV310-A0-1C2WFR-C Firmware versions before V5.3.2 build 230221 and CS-C6N-A0-1C2WFR-MUL Firmware versions before V5.3.2 build 230218 and CS-CV310-A0-3C2WFRL-1080p Firmware versions before V5.2.7 build 230302 and CS-CV310-A0-1C2WFR Wifi IP66 2.8mm 1080p Firmware versions before V5.3.2 build 230214 and CS-CV248-A0-32WMFR Firmware versions before V5.2.3 build 230217 and EZVIZ LC1C Firmware versions before V5.3.4 build 230214.
Severity
4 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-10-23 20:46 UTC
CWE
- n/a
- CWE-121 - Stack-based Buffer Overflow
Assigner
References
1 reference
Impacted products
3 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| ezviz | cs-c6n-a0-1c2wfr-mul_firmware |
Affected:
0 , < 5.3.0
(custom)
cpe:2.3:o:ezviz:cs-c6n-a0-1c2wfr-mul_firmware:5.3.2:build230218:*:*:*:*:*:* |
||
| ezviz | cs-c6n-r101-1g2wf_firmware |
Affected:
0 , < 5.3.0
(custom)
cpe:2.3:o:ezviz:cs-c6n-r101-1g2wf_firmware:5.3.0:build230215:*:*:*:*:*:* |
||
| ezviz | cv310-a0-1b2wfr_firmware |
Affected:
0 , < 5.3.0
(custom)
cpe:2.3:a:ezviz:cv310-a0-1b2wfr_firmware:*:*:*:*:*:*:*:* |
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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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