GCVE-1-2026-0025 (CVE-2026-40584)
Vulnerability from gna-1 – Published: 2026-04-12 15:22 – Updated: 2026-04-15 20:29
VLAI
EPSS
VEX
Title
RansomLook - Improper Filtering of Private Location Entries in API Endpoints Leads to Information Exposure
Summary
The API in the affected application improperly filters private location entries in `website/web/api/genericapi.py`.
Because the code removes elements from a list while iterating over it, entries marked as private may be unintentionally retained in API responses, allowing unauthorized disclosure of non-public location information.
Severity
CWE
- CWE-20 - Improper Input Validation
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/RansomLook/RansomLook/commit/8… | patch |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| ransomlook | ransomlook |
Affected:
0 , < <1.9.0
(semver)
|
guessed |
{
"containers": {
"cna": {
"affected": [
{
"defaultStatus": "unaffected",
"product": "ransomlook",
"vendor": "ransomlook",
"versions": [
{
"lessThan": "\u003c1.9.0",
"status": "affected",
"version": "0",
"versionType": "semver"
}
]
}
],
"credits": [
{
"lang": "en",
"type": "finder",
"value": "Jeroen Pinoy"
},
{
"lang": "en",
"type": "remediation developer",
"value": "Jeroen Pinoy"
},
{
"lang": "en",
"type": "remediation verifier",
"value": "Fafner [_KeyZee_]"
}
],
"descriptions": [
{
"lang": "en",
"supportingMedia": [
{
"base64": false,
"type": "text/html",
"value": "\u003cdiv\u003eThe API in the affected application improperly filters private location entries in `website/web/api/genericapi.py`.\u0026nbsp;\u003c/div\u003e\u003cdiv\u003e\u003cbr\u003e\u003c/div\u003e\u003cdiv\u003eBecause the code removes elements from a list while iterating over it, entries marked as private may be unintentionally retained in API responses, allowing unauthorized disclosure of non-public location information.\u003c/div\u003e"
}
],
"value": "The API in the affected application improperly filters private location entries in `website/web/api/genericapi.py`.\u00a0\n\n\n\n\nBecause the code removes elements from a list while iterating over it, entries marked as private may be unintentionally retained in API responses, allowing unauthorized disclosure of non-public location information."
}
],
"impacts": [
{
"descriptions": [
{
"lang": "en"
}
]
}
],
"metrics": [
{
"cvssV4_0": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "NONE",
"attackVector": "NETWORK",
"baseScore": 6.9,
"baseSeverity": "MEDIUM",
"privilegesRequired": "NONE",
"providerUrgency": "AMBER",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "LOW",
"subIntegrityImpact": "NONE",
"userInteraction": "NONE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:N/VA:N/SC:L/SI:N/SA:N/U:Amber",
"version": "4.0",
"vulnAvailabilityImpact": "NONE",
"vulnConfidentialityImpact": "LOW",
"vulnIntegrityImpact": "NONE",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"format": "CVSS",
"scenarios": [
{
"lang": "en",
"value": "GENERAL"
}
]
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-20",
"description": "CWE-20 Improper Input Validation",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"orgId": "00000000-0000-4000-9000-000000000000"
},
"references": [
{
"tags": [
"patch"
],
"url": "https://github.com/RansomLook/RansomLook/commit/80cdfb51a2ac225a2af370e2d7c346734daaee83"
}
],
"source": {
"discovery": "UNKNOWN"
},
"title": "RansomLook - Improper Filtering of Private Location Entries in API Endpoints Leads to Information Exposure",
"x_gcve": [
{
"recordType": "advisory",
"vulnId": "gcve-1-2026-0025"
}
],
"x_generator": {
"engine": "Vulnogram 0.2.0"
}
}
},
"cveMetadata": {
"assignerOrgId": "00000000-0000-4000-9000-000000000000",
"cveId": "CVE-2026-40584",
"datePublished": "2026-04-12T15:22:00.000Z",
"dateUpdated": "2026-04-15T20:29:51.794609Z",
"requesterUserId": "00000000-0000-4000-9000-000000000000",
"serial": 1,
"state": "PUBLISHED",
"vulnId": "GCVE-1-2026-0025",
"vulnerabilitylookup_history": [
[
"alexandre.dulaunoy@circl.lu",
"2026-04-12T15:22:08.657778Z"
],
[
"alexandre.dulaunoy@circl.lu",
"2026-04-12T15:27:31.523942Z"
],
[
"alexandre.dulaunoy@circl.lu",
"2026-04-15T20:29:51.794609Z"
]
]
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
Loading…
Loading…
Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
Loading timeline…
Loading…
Loading…
The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
Loading…
Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.