FKIE_CVE-2022-37779
Vulnerability from fkie_nvd - Published: 2022-09-08 00:15 - Updated: 2026-06-17 04:55
Severity
Summary
Phicomm FIR151B A2, FIR302E A2, FIR300B A2, FIR303B A2 routers V3.0.1.17 were discovered to contain a remote command execution (RCE) vulnerability via the sendnum parameter of the ping function.
References
| URL | Tags | ||
|---|---|---|---|
| cve@mitre.org | https://github.com/SLoSnow9879/Feixun_Router/blob/main/Ping_1.md | Exploit, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://github.com/SLoSnow9879/Feixun_Router/blob/main/Ping_1.md | Exploit, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| phicomm | fir151b_firmware | 3.0.1.17 | |
| phicomm | fir151b | a2 | |
| phicomm | fir302e_firmware | 3.0.1.17 | |
| phicomm | fir302e | a2 | |
| phicomm | fir300b_firmware | 3.0.1.17 | |
| phicomm | fir300b | a2 | |
| phicomm | fir303b_firmware | 3.0.1.17 | |
| phicomm | fir303b | a2 |
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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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