CVE-2026-100903 (GCVE-0-2026-100903)
Vulnerability from cvelistv5 – Published: 2026-09-28 03:15 – Updated: 2026-09-28 11:34
VLAI
EPSS
VEX
Title
ООО НПО Ритм GEOritm REST API obj-groups missing authentication
Summary
A vulnerability was identified in ООО НПО Ритм GEOritm up to 2.45.1. This affects an unknown part of the file /restapi/objects/obj-groups of the component REST API. Such manipulation of the argument objectId leads to missing authentication. The attack can be launched remotely. The exploit is publicly available and might be used. Upgrading to version 2.46 is able to mitigate this issue. It is advisable to upgrade the affected component. The vendor confirms: "In August 2026, NPO Ritm received an official vulnerability notification from the Russian Federal Service for Technical and Export Control (FSTEC Russia). The vulnerability was registered under identifier BDU:2026-11235. Following our internal investigation, we confirmed the vulnerability and implemented the necessary security fixes. The vulnerability has been fixed on our hosted GEO.RITM server at geo.ritm.ru. The fix has also been included in GEO.RITM version 2.46, which is already being distributed to our customers."
Severity
Assigner
References
7 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/410853 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/410853/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-100903 | third-party-advisory |
| https://vuldb.com/submit/919388 | third-party-advisory |
| https://pastebin.com/3VsEG3Rg | related |
| https://github.com/4ybrick/CVE-2026-100903 | exploit |
| https://ritm.ru/contacts/ | patch |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| ООО НПО Ритм | GEOritm |
Affected:
2.45.0
Affected: 2.45.1 Unaffected: 2.46 cpe:2.3:a:_:georitm:*:*:*:*:*:*:*:* |
{
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}
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},
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},
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"time": "2026-09-28T13:38:16.000Z",
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"title": "\u041e\u041e\u041e \u041d\u041f\u041e \u0420\u0438\u0442\u043c GEOritm REST API obj-groups missing authentication",
"x_generator": [
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"cveMetadata": {
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"datePublished": "2026-09-28T03:15:11.496Z",
"dateReserved": "2026-09-27T08:59:57.846Z",
"dateUpdated": "2026-09-28T11:34:23.472Z",
"state": "PUBLISHED"
},
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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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