CyberRota Analysis
AI-GeneratedGeoLens versions prior to 1.2.3 are vulnerable due to insufficient authorization checks on multiple read and link endpoints, allowing anonymous users to access private datasets and their metadata through public maps. This can lead to unauthorized exposure of sensitive information, including vector tiles, raster pixels, and database schemas. Organizations using GeoLens should prioritize upgrading to version 1.2.3 to mitigate the risk of data leakage and protect sensitive geospatial information.
Public Exploit Signal
A public exploit, PoC, GitHub repository or Metasploit reference was detected for this CVE.
Note: these links are listed for security research and verification purposes only.
Original NVD 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use GET /collections/datasets/items with an externalId dataset UUID to obtain metadata for any private, restricted, or unpublished dataset because that lookup performs no visibility check.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.