CVE-2023-48725 (GCVE-0-2023-48725)
Vulnerability from cvelistv5 – Published: 2024-03-07 14:59 – Updated: 2025-11-04 18:19
VLAI
EPSS
VEX
Summary
A stack-based buffer overflow vulnerability exists in the JSON Parsing getblockschedule() functionality of Netgear RAX30 1.0.11.96 and 1.0.7.78. A specially crafted HTTP request can lead to code execution. An attacker can make an authenticated HTTP request to trigger this vulnerability.
Severity
7.2 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-03-12 04:00 UTC
CWE
- CWE-121 - Stack-based Buffer Overflow
Assigner
References
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Netgear | RAX30 |
Affected:
1.0.11.96
Affected: 1.0.7.78 |
guessed | |
| netgear | rax30_firmware |
Affected:
1.0.11.96
Affected: 1.0.7.78 cpe:2.3:o:netgear:rax30_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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