CVE-2026-77387 (GCVE-0-2026-77387)
Vulnerability from cvelistv5 – Published: 2026-10-01 16:38 – Updated: 2026-10-01 17:50
VLAI
EPSS
VEX
Title
geopy: Regular Expression Denial of Service (ReDoS) in geopy.Point
Summary
geopy is a geocoding library for Python. Prior to 2.5.0, geopy.Point and Point.from_string() can spend excessive CPU time due to inefficient regular-expression behavior when an application passes a long malformed coordinate string without the 256-character input limit used by the fix. Geocoder reverse methods also reach the vulnerable parsing path when called with string inputs. Repeated attacker-controlled requests can cause a denial of service, while the numeric Point constructor is unaffected. This issue is fixed in version 2.5.0.
Severity
4 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-01 17:50 UTC
CWE
- CWE-1333 - Inefficient Regular Expression Complexity
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://github.com/geopy/geopy/security/advisorie… | x_refsource_CONFIRM |
| https://github.com/geopy/geopy/issues/608 | x_refsource_MISC |
| https://github.com/geopy/geopy/pull/610 | x_refsource_MISC |
| https://github.com/geopy/geopy/commit/5d09fa843f9… | x_refsource_MISC |
| https://github.com/geopy/geopy/releases/tag/2.5.0 | x_refsource_MISC |
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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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