CVE-2024-39350 (GCVE-0-2024-39350)
Vulnerability from cvelistv5 – Published: 2024-06-28 06:55 – Updated: 2024-08-02 04:26
VLAI
EPSS
VEX
Summary
A vulnerability regarding authentication bypass by spoofing is found in the RTSP functionality. This allows man-in-the-middle attackers to obtain privileges without consent via unspecified vectors. The following models with Synology Camera Firmware versions before 1.0.7-0298 may be affected: BC500 and TC500.
Severity
7.5 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-06-28 14:02 UTC
CWE
- CWE-290 - Authentication Bypass by Spoofing
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://www.synology.com/en-global/security/advis… | vendor-advisory |
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Synology | Camera Firmware |
Affected:
1.0 , < 1.0.7-0298
(semver)
|
guessed | |
| synology | camera_firmware |
Affected:
1.0 , < 1.0.7-0298
(custom)
cpe:2.3:a:synology:camera_firmware:*:*:*:*:*:*:*:* |
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
How durations are calculated
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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.
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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.