High severity · published Sep 15, 2026
CVE-2026-55178
GeoLens: Cross-dataset authorization bypass discloses private dataset metadata, schema, sample values, table rows, and raster/vector tile data
7.5
CVSS
0.6%
EPSS
No
On KEV
Description
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use GET /collections/datasets/items with an externalId dataset UUID to obtain metadata for any private, restricted, or unpublished dataset because that lookup performs no visibility check.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.
CVSS vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
Attack vector
Network
Complexity
Low
Privileges
None
User interaction
None
Confidentiality
High
Integrity
None
Availability
None
Scope
Unchanged
Exploitation
Is it being used?
Exploit prediction (EPSS)0.6% · higher than 51% of CVEs
Exploited in the wildNo evidence yet
CISA KEVNot listed
Ransomware campaign useNot known
Affected products
Which versions
GE
geolens · geolens-io
< 1.2.3 · source: vendor
References
NVD
https://nvd.nist.gov/vuln/detail/CVE-2026-55178
CVE.org
https://www.cve.org/CVERecord?id=CVE-2026-55178
github.com
https://github.com/geolens-io/geolens/commit/01bc87da03a5ecd0322c42388f4bfced7cb2ed06
github.com
https://github.com/geolens-io/geolens/commit/07dfb1c63ecfc065c0c47b7718ec6ebe97798b1e
github.com
https://github.com/geolens-io/geolens/commit/2c031da8e753639ff0e36d47ca05bbb96fbe4a9e
github.com
https://github.com/geolens-io/geolens/commit/31a103b96b9fd6ad90308b3e27a581852c4a69bd
github.com
https://github.com/geolens-io/geolens/commit/407c068836058fdeca6bb477d39f841316b326a5
github.com
https://github.com/geolens-io/geolens/pull/234
