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Not in CISA KEV
HIGH severity

CVE-2026-55178

HIGHFix: geolens-io/geolens#234

CVE-2026-55178 is a high-severity (CVSS 7.5) vulnerability in @geolens/sdk. O3 Security confirms whether CVE-2026-55178 is actually reachable in your code before you act, and blocks exploitation at runtime until you patch.

GeoLens: Cross-dataset authorization bypass discloses private dataset metadata, schema, sample values, table rows, and raster/vector tile data

Published
Aug 18, 2026
Updated
Aug 18, 2026
Affected
3 pkgs
Patched
3 / 3
Exploits
None indexed
Exploitation data as of Aug 18, 2026 · OSV.dev, FIRST.org (EPSS)

Real-World Exposure

3 pkgs affected

How broadly this vulnerability is actually deployed: weekly install volume shows current usage, and reverse-dependency count shows how many other packages break if it stays unpatched.

0other npm packages depend on this — each one inherits the vulnerability until it's patched upstream
@geolens/sdknpm
738downloads / week

Description

Summary

Multiple GeoLens read/link endpoints authorized only the resource named in the request URL (a map, a VRT, a source dataset, an AI request) and failed to re-authorize a second, caller-influenced dataset that the request reached through a relationship, layer reference, mosaic source, or request body. This "authorize the URL resource, read a different dataset un-re-authorized" pattern let callers read data from datasets they have no access to.

The most severe instances require no authentication at all (anonymous, network-only). Others require only the default editor role that any self-service signup / upload user receives.

All issues are fixed in 1.2.3. There is no complete configuration workaround — upgrading is the only full remediation.

Impact

Depending on the endpoint, an attacker can read, for datasets they cannot otherwise access:

  • the dataset's vector tile data (actual feature geometries/attributes),
  • the dataset's raster pixels,
  • backing-table rows,
  • and metadata — table name, column schema, feature count, extent, source URL/filename, contacts, and sampled row values.

Affected versions

All versions prior to 1.2.3 (includes the published 1.0.0, 1.2.0, and 1.2.2 releases and their PyPI/npm/GHCR artifacts). Fixed in 1.2.3.

Findings

1. Anonymous metadata + private vector-tile disclosure via public maps (PR #235) GET /maps/{id} and GET /maps/{id}/style.json authorized the map but not each layer's backing dataset. A public map that references a private dataset leaked that dataset's table name, column schema, feature count, extent, and sampled values to anonymous callers. style.json additionally returned a vector-tile URL carrying an HMAC signature bound to neither user nor map, which the tile endpoint accepts for non-public datasets with no user check — so the signature is replayable to read the private dataset's actual vector tiles. (Anonymous · High)

2. Anonymous private-row disclosure via dataset relationships (PR #234) The dataset FK-relationship APIs authorized only the source dataset from the URL, never the relationship target. A public dataset with a relationship to a private dataset let an anonymous caller enumerate the relationship (obtaining the private target's id/title and the relationship id) and then call the related-record endpoint to read rows from the private target's backing table. (Anonymous · High)

3. Anonymous metadata disclosure via OGC externalId lookup (PR #236) GET /collections/datasets/items?externalId=<uuid> resolved the dataset by id and returned the full OGC catalog record (title, summary, bbox, keywords, contacts, distributions, source org) with no visibility check — the user was never threaded into the lookup. An anonymous caller could read any private, restricted, or unpublished dataset's metadata by UUID. (Anonymous · High)

4. Cross-tenant raster pixel disclosure via VRT mosaics — SEC-C (PR #237) An authenticated user with the default editor upload permission could mosaic another user's private raster into a VRT they own, then read the victim's pixels back through raster tile / quicklook / COG endpoints that authorize only the attacker-owned VRT. VRT member pixels are compiled into one served asset and cannot be filtered at read time, so the fix authorizes every source dataset at write/link time. (Authenticated editor · High)

5. Cross-tenant metadata/sample-data disclosure via AI metadata endpoints — SEC-D (PR #238) The POST /ai/metadata/{summary,keywords,lineage,quality-statement} endpoints were gated only by the use_ai_chat permission (held by the default editor role). The attacker-controlled dataset_id in the request body flowed into the LLM prompt context with no visibility filter, rendering any dataset's title, summary, source URL, filename, column schema, and sample values into the response. (Authenticated editor · High)

6. Residual VRT member disclosure for legacy links — SEC-E (PR #237) Link-time authorization (finding 4) does not re-authorize pre-existing vrt_source_links, so legacy or authorization-drift links still leaked member metadata and health via the VRT source-listing/status endpoints until a per-member read filter was added. (Medium)

Patches

Fixed in 1.2.3 by, in order:

  • 31a103b9 — fix(catalog): authorize relationship targets in related-record endpoints (#234)
  • 01bc87da — fix(maps): re-authorize each layer's dataset on anonymous map read endpoints (#235)
  • 407c0688 — fix(ogc): enforce dataset visibility on the externalId OGC item lookup (#236)
  • 2c031da8 — fix(vrt): authorize VRT source datasets at link time + filter unauthorized members on read (#237)
  • 07dfb1c6 — fix(ai): authorize the requested dataset on AI metadata endpoints (#238)

The fixes follow the codebase's established per-dataset re-authorization pattern (can_access_dataset / check_dataset_access_or_anonymous), filtering at read time and authorizing cross-dataset references at link/write time.

Workarounds

There is no complete configuration workaround; the anonymous findings require only network access to the API. Operators who cannot upgrade immediately should restrict network exposure of the API and avoid co-locating private datasets with public maps/relationships, but upgrading to 1.2.3 is the only full remediation.

Remediation

Upgrade to GeoLens 1.2.3:

  • Container images: ghcr.io/geolens-io/geolens-api:1.2.3 (+ worker/frontend)
  • Python SDK: geolens==1.2.3 · CLI: geolens-cli==1.2.3 · npm: @geolens/[email protected]

Affected Packages

3 total 3 fixed
EcosystemPackageVulnerable rangeFix
📦npm@geolens/sdkall versions1.2.3
🐍PyPIgeolens-cliall versions1.2.3
🐍PyPIgeolensall versions1.2.3

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for @geolens/sdk. O3's reachability analysis confirms whether the vulnerable code path is actually invoked in your application, so you act on real exposure instead of every transitive match.

  2. Fix

    Update @geolens/sdk to 1.2.3 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2026-55178 is resolved across your whole dependency graph.

  3. Workarounds

    If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.

  4. How O3 protects you

    O3 pinpoints whether CVE-2026-55178 is reachable in your code and exactly where to fix it, then blocks exploitation in production at runtime until the patched version is deployed.

Tailored to CVE-2026-55178. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

### Summary Multiple GeoLens read/link endpoints authorized only the resource named in the request URL (a map, a VRT, a source dataset, an AI request) and failed to re-authorize a **second, caller-influenced dataset** that the request reached through a relationship, layer reference, mosaic source, or request body. This "authorize the URL resource, read a *different* dataset un-re-authorized" pattern let callers read data from datasets they have no access to. The most severe instances require **no authentication at all** (anonymous, network-only). Others require only the **default `editor` ro
O3 Security · Impact-Aware SCA

Is CVE-2026-55178 in your dependencies?

O3 detects CVE-2026-55178 across npm, PyPI dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.