GeoLens-IO GeoLens up to 1.2.2 improper authorization
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.2 | $0-$5k | 1.35- |
Summary
A vulnerability, which was classified as critical, has been found in GeoLens-IO GeoLens up to 1.2.2. This issue affects some unknown processing. Performing a manipulation results in improper authorization. This vulnerability is known as CVE-2026-55178. Remote exploitation of the attack is possible. No exploit is available. It is advisable to upgrade the affected component.
Details
A vulnerability, which was classified as critical, was found in GeoLens-IO GeoLens up to 1.2.2. This affects an unknown functionality. The manipulation with an unknown input leads to a improper authorization vulnerability. CWE is classifying the issue as CWE-285. The product does not perform or incorrectly performs an authorization check when an actor attempts to access a resource or perform an action. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
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use GET /collections/datasets/items with an externalId dataset UUID to obtain metadata for any private, restricted, or unpublished dataset because that lookup performs no visibility check.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.
The advisory is shared at github.com. This vulnerability is uniquely identified as CVE-2026-55178 since 06/16/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Neither technical details nor an exploit are publicly available. MITRE ATT&CK project uses the attack technique T1548.002 for this issue.
Upgrading to version 1.2.3 eliminates this vulnerability.
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Product
Vendor
Name
Version
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.4VulDB Meta Temp Score: 7.2
VulDB Base Score: 7.3
VulDB Temp Score: 7.0
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 7.5
CNA Vector (GitHub_M): 🔒
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Improper authorizationCWE: CWE-285 / CWE-266
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: GeoLens 1.2.3
Timeline
06/16/2026 CVE reserved09/15/2026 Advisory disclosed
09/15/2026 VulDB entry created
09/15/2026 VulDB entry last update
Sources
Product: github.comAdvisory: github.com
Status: Confirmed
CVE: CVE-2026-55178 (🔒)
GCVE (CVE): GCVE-0-2026-55178
GCVE (VulDB): GCVE-100-404265
Entry
Created: 09/15/2026 17:13Changes: 09/15/2026 17:13 (63)
Complete: 🔍
Cache ID: 216::103
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
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