7.5
HIGH CVSS 3.1
CVE-2026-55178
GeoLens: Cross-dataset authorization bypass discloses private dataset metadata, schema, sample values, table rows, and raster/vector tile data
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use GET /collections/datasets/items with an externalId dataset UUID to obtain metadata for any private, restricted, or unpublished dataset because that lookup performs no visibility check.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.

INFO

Published Date :

Sept. 15, 2026, 3:17 p.m.

Last Modified :

Sept. 15, 2026, 3:17 p.m.

Remotely Exploit :

Yes !
Affected Products

The following products are affected by CVE-2026-55178 vulnerability. Even if cvefeed.io is aware of the exact versions of the products that are affected, the information is not represented in the table below.

No affected product recoded yet

CVSS Scores
The Common Vulnerability Scoring System is a standardized framework for assessing the severity of vulnerabilities in software and systems. We collect and displays CVSS scores from various sources for each CVE.
Score Version Severity Vector Exploitability Score Impact Score Source
CVSS 3.1 HIGH [email protected]
Solution
Update GeoLens to version 1.2.3 to fix authorization flaws.
  • Update GeoLens to version 1.2.3.
  • Review and restrict access to sensitive data.
  • Apply proper authorization checks on all endpoints.
CWE - Common Weakness Enumeration

While CVE identifies specific instances of vulnerabilities, CWE categorizes 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.

CAPEC-13: Subverting Environment Variable Values Subverting Environment Variable Values CAPEC-22: Exploiting Trust in Client Exploiting Trust in Client CAPEC-59: Session Credential Falsification through Prediction Session Credential Falsification through Prediction CAPEC-60: Reusing Session IDs (aka Session Replay) Reusing Session IDs (aka Session Replay) CAPEC-79: Using Slashes in Alternate Encoding Using Slashes in Alternate Encoding CAPEC-116: Excavation Excavation CAPEC-169: Footprinting Footprinting CAPEC-224: Fingerprinting Fingerprinting CAPEC-285: ICMP Echo Request Ping ICMP Echo Request Ping CAPEC-287: TCP SYN Scan TCP SYN Scan CAPEC-290: Enumerate Mail Exchange (MX) Records Enumerate Mail Exchange (MX) Records CAPEC-291: DNS Zone Transfers DNS Zone Transfers CAPEC-292: Host Discovery Host Discovery CAPEC-293: Traceroute Route Enumeration Traceroute Route Enumeration CAPEC-294: ICMP Address Mask Request ICMP Address Mask Request CAPEC-295: Timestamp Request Timestamp Request CAPEC-296: ICMP Information Request ICMP Information Request CAPEC-297: TCP ACK Ping TCP ACK Ping CAPEC-298: UDP Ping UDP Ping CAPEC-299: TCP SYN Ping TCP SYN Ping CAPEC-300: Port Scanning Port Scanning CAPEC-301: TCP Connect Scan TCP Connect Scan CAPEC-302: TCP FIN Scan TCP FIN Scan CAPEC-303: TCP Xmas Scan TCP Xmas Scan CAPEC-304: TCP Null Scan TCP Null Scan CAPEC-305: TCP ACK Scan TCP ACK Scan CAPEC-306: TCP Window Scan TCP Window Scan CAPEC-307: TCP RPC Scan TCP RPC Scan CAPEC-308: UDP Scan UDP Scan CAPEC-309: Network Topology Mapping Network Topology Mapping CAPEC-310: Scanning for Vulnerable Software Scanning for Vulnerable Software CAPEC-312: Active OS Fingerprinting Active OS Fingerprinting CAPEC-313: Passive OS Fingerprinting Passive OS Fingerprinting CAPEC-317: IP ID Sequencing Probe IP ID Sequencing Probe CAPEC-318: IP 'ID' Echoed Byte-Order Probe IP 'ID' Echoed Byte-Order Probe CAPEC-319: IP (DF) 'Don't Fragment Bit' Echoing Probe IP (DF) 'Don't Fragment Bit' Echoing Probe CAPEC-320: TCP Timestamp Probe TCP Timestamp Probe CAPEC-321: TCP Sequence Number Probe TCP Sequence Number Probe CAPEC-322: TCP (ISN) Greatest Common Divisor Probe TCP (ISN) Greatest Common Divisor Probe CAPEC-323: TCP (ISN) Counter Rate Probe TCP (ISN) Counter Rate Probe CAPEC-324: TCP (ISN) Sequence Predictability Probe TCP (ISN) Sequence Predictability Probe CAPEC-325: TCP Congestion Control Flag (ECN) Probe TCP Congestion Control Flag (ECN) Probe CAPEC-326: TCP Initial Window Size Probe TCP Initial Window Size Probe CAPEC-327: TCP Options Probe TCP Options Probe CAPEC-328: TCP 'RST' Flag Checksum Probe TCP 'RST' Flag Checksum Probe CAPEC-329: ICMP Error Message Quoting Probe ICMP Error Message Quoting Probe CAPEC-330: ICMP Error Message Echoing Integrity Probe ICMP Error Message Echoing Integrity Probe CAPEC-472: Browser Fingerprinting Browser Fingerprinting CAPEC-497: File Discovery File Discovery CAPEC-508: Shoulder Surfing Shoulder Surfing CAPEC-573: Process Footprinting Process Footprinting CAPEC-574: Services Footprinting Services Footprinting CAPEC-575: Account Footprinting Account Footprinting CAPEC-576: Group Permission Footprinting Group Permission Footprinting CAPEC-577: Owner Footprinting Owner Footprinting CAPEC-616: Establish Rogue Location Establish Rogue Location CAPEC-643: Identify Shared Files/Directories on System Identify Shared Files/Directories on System CAPEC-646: Peripheral Footprinting Peripheral Footprinting CAPEC-651: Eavesdropping Eavesdropping CAPEC-665: Exploitation of Thunderbolt Protection Flaws Exploitation of Thunderbolt Protection Flaws

We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).

Results are limited to the first 15 repositories due to potential performance issues.

The following list is the news that have been mention CVE-2026-55178 vulnerability anywhere in the article.

The following table lists the changes that have been made to the CVE-2026-55178 vulnerability over time.

Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.

  • New CVE Received by [email protected]

    Sep. 15, 2026

    Action Type Old Value New Value
    Added 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.
    Added CVSS V3.1 AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
    Added CWE CWE-200
    Added CWE CWE-639
    Added CWE CWE-862
    Added Affected New affected value received. <a href="https://github.com/CVEProject/cvelistV5/blob/main/cves/2026/55xxx/CVE-2026-55178.json">CVE-2026-55178</a>
    Added Reference https://github.com/geolens-io/geolens/commit/01bc87da03a5ecd0322c42388f4bfced7cb2ed06
    Added Reference https://github.com/geolens-io/geolens/commit/07dfb1c63ecfc065c0c47b7718ec6ebe97798b1e
    Added Reference https://github.com/geolens-io/geolens/commit/2c031da8e753639ff0e36d47ca05bbb96fbe4a9e
    Added Reference https://github.com/geolens-io/geolens/commit/31a103b96b9fd6ad90308b3e27a581852c4a69bd
    Added Reference https://github.com/geolens-io/geolens/commit/407c068836058fdeca6bb477d39f841316b326a5
    Added Reference https://github.com/geolens-io/geolens/pull/234
    Added Reference https://github.com/geolens-io/geolens/pull/235
    Added Reference https://github.com/geolens-io/geolens/pull/236
    Added Reference https://github.com/geolens-io/geolens/pull/237
    Added Reference https://github.com/geolens-io/geolens/pull/238
    Added Reference https://github.com/geolens-io/geolens/releases/tag/v1.2.3
    Added Reference https://github.com/geolens-io/geolens/security/advisories/GHSA-p23g-mvhj-jh3j
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days. Following chart shows the EPSS score history of the vulnerability.