GeoLens: Cross-dataset authorization bypass discloses private dataset metadata, schema, sample values, table rows, and raster/vector tile data
CVSS score
7.5
EPSS probability
%0.6
Risk score
0.0
Published
1 mo ago
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Vulnerability description
DayBreach CVE AI Research
CVE-2026-55178 has vendor, distribution, patch and security-source records on file. We can compare them and prepare an explanation linked to the evidence.
GeoLens is a self-hosted geospatial data catalog with semantic search, OGC and STAC APIs, and a map builder. Prior to 1.2.3, multiple read and link endpoints authorize only the resource named in the request URL and fail to re-authorize a second caller-influenced dataset reached through a relationship, map layer, VRT source, externalId lookup, or request body. When a public map references a private dataset, anonymous callers can use GET /maps/{id} and GET /maps/{id}/style.json to obtain the private layer's metadata, sampled values, or vector tiles. The style response can expose a replayable HMAC tile URL that is bound to neither a user nor a map. When a public source dataset has a relationship to a private target dataset, anonymous callers can use the dataset relationship APIs to enumerate the relationship and read rows from the private target's backing table. Anonymous callers can also use GET /collections/datasets/items with an externalId dataset UUID to obtain metadata for any private, restricted, or unpublished dataset because that lookup performs no visibility check. Authenticated users with the default editor role can mosaic another user's private raster into an owned VRT and read its pixels, and POST /ai/metadata/{summary,keywords,lineage,quality-statement} accepts a body-controlled dataset_id without a visibility check and returns private metadata and sample values. Pre-existing vrt_source_links also expose unauthorized member metadata and health unless each member is filtered at read time. These paths can disclose vector geometries and attributes, raster pixels, table rows, table names, column schemas, feature counts, extents, source URLs and filenames, contacts, and sampled row values. This issue is fixed in version 1.2.3.
IMPACT: Affected Products and Software
RED HAT CSAF/VEX: Product Impact Check
SCORING: CVSS from Multiple Sources
CVSS Scores
The Common Vulnerability Scoring System is a standardised framework for assessing the severity of vulnerabilities in software and systems. We collect and display CVSS scores from several sources for each CVE.
| SCORE | VERSION | SEVERITY | VECTOR | SOURCE |
|---|---|---|---|---|
| 7.5 | CVSS 3.x | — | Vector not published | GitHub Advisory |
| 7.5 | CVSS V31 | HIGH | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N | NVD |
| 7.5 | CVSS V3_1 | HIGH | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N | CVE CNA |
| 0.0 | CVSS 4.0 | — | Vector not published | GitHub Advisory |
Patch and Remediation Guide
Solution & Remediation Advisory
1 doğrulanmış yama veya düzeltilmiş sürüm kanıtı bulundu.
1.2.3OSV düzeltilmiş sürüm: 1.2.3
Public exploit and active exploitation status
Verified exploit intelligence
No verified public PoC, exploit repository or Metasploit module has been found for this CVE yet.
Weakness Classification and Attack Patterns (CWE & CAPEC)
CWE - Common Weakness Enumeration
While CVE identifies specific instances of vulnerabilities, CWE categorises the common flaws or weaknesses that can lead to vulnerabilities. CVE-2026-55178 is associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification (CAPEC) stores attack patterns, which are descriptions of the common attributes and approaches employed by adversaries to exploit the CVE-2026-55178 weaknesses.
Attack Vector and Accessibility
Official Sources and Advisories
Similar Vulnerabilities
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