FKIE_CVE-2021-27860
Vulnerability from fkie_nvd - Published: 2021-12-08 17:15 - Updated: 2026-06-17 03:45
Severity
9.8 (Critical) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
8.8 (High) - CVSS:3.1/
Summary
A vulnerability in the web management interface of FatPipe WARP, IPVPN, and MPVPN software prior to versions 10.1.2r60p92 and 10.2.2r44p1 allows a remote, unauthenticated attacker to upload a file to any location on the filesystem. The FatPipe advisory identifier for this vulnerability is FPSA006.
References
| URL | Tags | ||
|---|---|---|---|
| cret@cert.org | https://www.fatpipeinc.com/support/cve-list.php | Vendor Advisory | |
| cret@cert.org | https://www.ic3.gov/Media/News/2021/211117-2.pdf | Exploit, Mitigation, Third Party Advisory, US Government Resource | |
| af854a3a-2127-422b-91ae-364da2661108 | https://www.fatpipeinc.com/support/cve-list.php | Vendor Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://www.ic3.gov/Media/News/2021/211117-2.pdf | Exploit, Mitigation, Third Party Advisory, US Government Resource | |
| 134c704f-9b21-4f2e-91b3-4a467353bcc0 | https://www.cisa.gov/known-exploited-vulnerabilities-catalog?field_cve=CVE-2021-27860 | US Government Resource |
Impacted products
{
"affected": [
{
"affectedData": [
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"product": "WARP",
"vendor": "FatPipe",
"versions": [
{
"lessThan": "10.1.2r60p92",
"status": "affected",
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},
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"status": "affected",
"version": "10.2",
"versionType": "custom"
}
]
},
{
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{
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"status": "affected",
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},
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"status": "affected",
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}
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},
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"status": "affected",
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}
]
}
],
"source": "cret@cert.org"
}
],
"cisaActionDue": "2022-01-24",
"cisaExploitAdd": "2022-01-10",
"cisaRequiredAction": "Apply updates per vendor instructions.",
"cisaVulnerabilityName": "FatPipe WARP, IPVPN, and MPVPN Configuration Upload exploit",
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]
}
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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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