CVE-2021-40822 (GCVE-0-2021-40822)
Vulnerability from cvelistv5 – Published: 2022-05-01 23:17 – Updated: 2024-08-04 02:51Summary
GeoServer through 2.18.5 and 2.19.x through 2.19.2 allows SSRF via the option for setting a proxy host.
Severity
7.5 (High)
CWE
- n/a
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/geoserver/geoserver/releases | x_refsource_MISC |
| https://osgeo-org.atlassian.net/browse/GEOS-10229 | x_refsource_MISC |
| https://github.com/geoserver/geoserver/compare/2.… | x_refsource_CONFIRM |
| https://osgeo-org.atlassian.net/browse/GEOS-10229… | x_refsource_MISC |
Shadowserver
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 406e4afe-4fbb-4c55-86f0-8741f2f59c31
Exploited: Yes
Characteristics
Severity:
75.0
Timestamps
First Seen: 2023-10-15
Asserted: 2023-10-15
Last Seen: 2026-07-07
Scope
Asset Exposure: ['internet-facing']
Notes: Affected: GeoServer / GeoServer | Class: other-software | Severity: High (CVSS 7.5) | IoT: no | In CISA KEV: no | Honeypot connections on 2026-07-07: 30
Evidence
Type: Honeypot
Signal: In The Wild Attempts
Confidence: 70%
Source: shadowserver
Details
| 1D | 1 |
|---|---|
| Iot | no |
| Feed | Shadowserver Foundation honeypot/exploited-vulnerabilities |
| Type | http-scan |
| Class | other-software |
| 7D Avg | 0 |
| Vendor | GeoServer |
| 30D Avg | 1 |
| 90D Avg | 0 |
| Product | GeoServer |
| Cisa Kev | no |
| Connections | 30 |
| Observation Date | 2026-07-07 |
| Vulnerability Class | CVSS |
| Vulnerability Score | 7.5 |
| Vulnerability Severity | High |
References
Created: 2026-06-30 09:23 UTC
| Updated: 2026-07-09 01:01 UTC
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: c4f58fb2-4dcb-4921-9351-acfcb952ce17
Exploited: Yes
Timestamps
First Seen: 2025-04-26
Asserted: 2025-04-26
Scope
Notes: KEVIntel entry: GeoServer through 2.18.5 and 2.19.x through 2.19.2 allows SSRF via the option for setting a proxy host. | Affected: GeoServer / GeoServer | CVSS: 7.5 (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 | GeoServer through 2.18.5 and 2.19.x through 2.19.2 allows SSRF via the option for setting a proxy host. |
| Vendor | GeoServer |
| Product | GeoServer |
| Added Date | 2025-04-26T00:00:00.000Z |
| Cvss Score | 7.5 |
| 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: 2026-06-23 14:04 UTC
| Updated: 2026-07-10 06:14 UTC
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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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