CVE-2021-27855 (GCVE-0-2021-27855)
Vulnerability from cvelistv5 – Published: 2021-12-15 16:14 – Updated: 2024-09-17 02:42Title
FatPipe software allows privilege escalation
Summary
FatPipe WARP, IPVPN, and MPVPN software prior to versions 10.1.2r60p91 and 10.2.2r42 allows a remote, authenticated attacker with read-only privileges to grant themselves administrative privileges. Older versions of FatPipe software may also be vulnerable. The FatPipe advisory identifier for this vulnerability is FPSA001.
Severity
8.8 (High)
CWE
- CWE-862 - Missing Authorization
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://www.zeroscience.mk/en/vulnerabilities/ZSL… | x_refsource_MISC |
| https://www.fatpipeinc.com/support/cve-list.php | x_refsource_CONFIRM |
| https://www.zeroscience.mk/codes/fatpipe_privesc.txt | x_refsource_MISC |
Impacted products
3 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| FatPipe | WARP |
Affected:
10.1 , < 10.1.2r60p91
(custom)
Affected: 10.2 , < 10.2.2r42 (custom) |
guessed | |
| FatPipe | IPVPN |
Affected:
10.1 , < 10.1.2r60p91
(custom)
Affected: 10.2 , < 10.2.2r42 (custom) |
guessed | |
| FatPipe | MPVPN |
Affected:
10.1 , < 10.1.2r60p91
(custom)
Affected: 10.2 , < 10.2.2r42 (custom) |
guessed |
Date Public
2021-09-27 00:00
Shadowserver
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: a7c6d367-0e9c-4bce-8deb-3e474f7d34a9
Exploited: Yes
Characteristics
Severity:
88.0
Timestamps
First Seen: 2023-10-22
Asserted: 2023-10-22
Last Seen: 2026-09-06
Scope
Asset Exposure: ['internet-facing']
Notes: Affected: FatPipe / FatPipe WARP/IPVPN/MPVPN | Class: other-software | Severity: High (CVSS 8.8) | IoT: no | In CISA KEV: no | Honeypot connections on 2026-09-06: 37
Evidence
Type: Honeypot
Signal: In The Wild Attempts
Confidence: 70%
Source: shadowserver
Details
| 1D | 3 |
|---|---|
| Iot | no |
| Feed | Shadowserver Foundation honeypot/exploited-vulnerabilities |
| Type | http-scan |
| Class | other-software |
| 7D Avg | 2 |
| Vendor | FatPipe |
| 30D Avg | 1 |
| 90D Avg | 1 |
| Product | FatPipe WARP/IPVPN/MPVPN |
| Cisa Kev | no |
| Connections | 37 |
| Observation Date | 2026-09-06 |
| Vulnerability Class | CVSS |
| Vulnerability Score | 8.8 |
| Vulnerability Severity | High |
References
Created: 2026-07-01 05:54 UTC
| Updated: 2026-09-08 01:00 UTC
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: ec094189-1d3f-4ca8-a8a3-7e0f3b02ae77
Exploited: Yes
Timestamps
First Seen: 2025-10-14
Asserted: 2025-10-14
Scope
Notes: KEVIntel entry: FatPipe software allows privilege escalation | Affected: FatPipe / WARP, IPVPN, MPVPN | CVSS: 8.8 (HIGH) | Used in malware: unknown | Not yet in CISA KEV: True
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: kevintel
Details
| Feed | KEVIntel (kevintel.com) |
|---|---|
| Title | FatPipe software allows privilege escalation |
| Vendor | FatPipe |
| Product | WARP, IPVPN, MPVPN |
| Added Date | 2025-10-14T00:00:00.000Z |
| Cvss Score | 8.8 |
| Epss Score | None |
| Cvss Severity | HIGH |
| Epss Percentile | None |
| Used In Malware | unknown |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | True |
References
Created: 2026-06-19 12:42 UTC
| Updated: 2026-06-19 12:42 UTC
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"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory"
],
"url": "https://www.zeroscience.mk/en/vulnerabilities/ZSL-2021-5685.php"
}
],
"sourceIdentifier": "cret@cert.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-862"
}
],
"source": "cret@cert.org",
"type": "Secondary"
},
{
"description": [
{
"lang": "en",
"value": "NVD-CWE-Other"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
},
"redhat_vex": {
"current_release_date": "2026-03-27T14:23:31+00:00",
"cve": "CVE-2021-27855",
"id": "CVE-2021-27855",
"initial_release_date": "2021-09-27T00:00:00+00:00",
"product_status:known_not_affected": "1",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "FatPipe software allows privilege escalation",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2021/cve-2021-27855.json",
"version": "3"
}
}
}
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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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