CVE-2023-39550 (GCVE-0-2023-39550)
Vulnerability from cvelistv5 – Published: 2023-08-07 00:00 – Updated: 2024-10-17 14:24
VLAI
EPSS
VEX
Summary
Netgear JWNR2000v2 v1.0.0.11, XWN5001 v0.4.1.1, and XAVN2001v2 v0.4.0.7 were discovered to contain multiple buffer overflows via the http_passwd and http_username parameters in the check_auth function.
Severity
No CVSS data available.
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-10-17 14:21 UTC
CWE
- n/a
Assigner
References
2 references
Impacted products
3 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| netgear | jwnr2000v2 |
Affected:
v1.0.0.11,
cpe:2.3:h:netgear:jwnr2000v2:-:*:*:*:*:*:*:* |
||
| netgear | xwn5001 |
Affected:
v0.4.1.1
cpe:2.3:h:netgear:xwn5001:-:*:*:*:*:*:*:* |
||
| netgear | xavn2001v2 |
Affected:
v0.4.0.7
cpe:2.3:h:netgear:xavn2001v2:-:*:*:*:*:*:*:* |
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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
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