CVE-2026-93340 (GCVE-0-2026-93340)
Vulnerability from cvelistv5 – Published: 2026-09-21 21:21 – Updated: 2026-09-21 21:21 X_Open Source
VLAI
EPSS
VEX
Title
Gladys Assistant < 5.1.0 Password Reset Link Poisoning via forgot_password Endpoint
Summary
Gladys Assistant before 5.1.0 contains a password reset link poisoning vulnerability that allows unauthenticated remote attackers to obtain valid password reset tokens for any account by exploiting the client-supplied origin parameter in the forgot_password endpoint without server-side validation. Attackers can send a crafted request specifying an attacker-controlled origin, causing the victim to receive a poisoned reset link that discloses the session token to the attacker, enabling full account takeover including administrator accounts.
Severity
CWE
- CWE-640 - Weak Password Recovery Mechanism for Forgotten Password
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://gladysassistant.com/blog/gladys-5-1-integ… | release-notes |
| https://github.com/GladysAssistant/Gladys/release… | patch |
| https://www.vulncheck.com/advisories/gladys-assis… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Gladys Assistant | Gladys Assistant |
Affected:
0 , < 5.1.0
(semver)
|
guessed |
Date Public
2026-09-21 00:00
{
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"packageURL": "pkg:github/GladysAssistant/Gladys",
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}
],
"metrics": [
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"problemTypes": [
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"description": "Weak Password Recovery Mechanism for Forgotten Password",
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],
"providerMetadata": {
"dateUpdated": "2026-09-21T21:21:58.925Z",
"orgId": "83251b91-4cc7-4094-a5c7-464a1b83ea10",
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"references": [
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],
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},
{
"name": "Release Notes",
"tags": [
"patch"
],
"url": "https://github.com/GladysAssistant/Gladys/releases/tag/v5.1.0"
},
{
"tags": [
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],
"url": "https://www.vulncheck.com/advisories/gladys-assistant-password-reset-link-poisoning-via-forgot-password-endpoint"
}
],
"source": {
"discovery": "UNKNOWN"
},
"tags": [
"x_open-source"
],
"title": "Gladys Assistant \u003c 5.1.0 Password Reset Link Poisoning via forgot_password Endpoint",
"x_generator": {
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}
}
},
"cveMetadata": {
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"cveId": "CVE-2026-93340",
"datePublished": "2026-09-21T21:21:58.925Z",
"dateReserved": "2026-09-17T18:41:40.757Z",
"dateUpdated": "2026-09-21T21:21:58.925Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
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"cveTags": [],
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}
],
"id": "CVE-2026-93340",
"lastModified": "2026-09-21T22:16:59.547",
"metrics": {
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},
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"impactScore": 5.2,
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"type": "Primary"
}
],
"cvssMetricV40": [
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"modifiedAttackComplexity": "NOT_DEFINED",
"modifiedAttackRequirements": "NOT_DEFINED",
"modifiedAttackVector": "NOT_DEFINED",
"modifiedPrivilegesRequired": "NOT_DEFINED",
"modifiedSubAvailabilityImpact": "NOT_DEFINED",
"modifiedSubConfidentialityImpact": "NOT_DEFINED",
"modifiedSubIntegrityImpact": "NOT_DEFINED",
"modifiedUserInteraction": "NOT_DEFINED",
"modifiedVulnAvailabilityImpact": "NOT_DEFINED",
"modifiedVulnConfidentialityImpact": "NOT_DEFINED",
"modifiedVulnIntegrityImpact": "NOT_DEFINED",
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"references": [
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"url": "https://github.com/GladysAssistant/Gladys/releases/tag/v5.1.0"
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}
}
}
}
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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.
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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.
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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.
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