CVE-2026-90715 (GCVE-0-2026-90715)
Vulnerability from cvelistv5 – Published: 2026-09-14 12:30 – Updated: 2026-09-14 15:38 X_Open Source
VLAI
EPSS
VEX
Title
marcobambini Gravity udp json-parser gravity_json.c integer overflow
Summary
A security vulnerability has been detected in marcobambini Gravity up to 0.9.7. This affects an unknown function of the file src/utils/gravity_json.c of the component udp json-parser. Such manipulation leads to integer overflow. The attack may be performed from remote. The exploit has been disclosed publicly and may be used. Upgrading to version 0.9.8 mitigates this issue. The name of the patch is 9b337c3eae5833c3956bed1fc01c21c14fd443f2. Upgrading the affected component is recommended.
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-14 15:38 UTC
Assigner
References
9 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/403269 | vdb-entry |
| https://vuldb.com/vuln/403269/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-90715 | third-party-advisory |
| https://vuldb.com/submit/919189 | third-party-advisory |
| https://github.com/marcobambini/gravity/issues/447 | exploitissue-tracking |
| https://github.com/marcobambini/gravity/pull/451 | issue-trackingpatch |
| https://github.com/sthagen/marcobambini-gravity/c… | patch |
| https://github.com/marcobambini/gravity/releases/… | patch |
| https://github.com/marcobambini/gravity/ | product |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| marcobambini | Gravity |
Affected:
0.9.0
Affected: 0.9.1 Affected: 0.9.2 Affected: 0.9.3 Affected: 0.9.4 Affected: 0.9.5 Affected: 0.9.6 Affected: 0.9.7 Unaffected: 0.9.8 cpe:2.3:a:marcobambini:gravity:*:*:*:*:*:*:*:* |
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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.
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.
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