CVE-2022-23131 (GCVE-0-2022-23131)
Vulnerability from cvelistv5 – Published: 2022-01-13 15:50 – Updated: 2025-10-21 23:15Title
Unsafe client-side session storage leading to authentication bypass/instance takeover via Zabbix Frontend with configured SAML
Summary
In the case of instances where the SAML SSO authentication is enabled (non-default), session data can be modified by a malicious actor, because a user login stored in the session was not verified. Malicious unauthenticated actor may exploit this issue to escalate privileges and gain admin access to Zabbix Frontend. To perform the attack, SAML authentication is required to be enabled and the actor has to know the username of Zabbix user (or use the guest account, which is disabled by default).
Severity
9.1 (Critical)
SSVC
Exploitation: active
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-01-29 17:20 UTC
CWE
- CWE-290 - Authentication Bypass by Spoofing
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://support.zabbix.com/browse/ZBX-20350 | x_refsource_MISC |
| https://www.cisa.gov/known-exploited-vulnerabilit… | government-resource |
Impacted products
Date Public
2021-11-22 00:00
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: af44b085-9a00-4c2c-ab8c-8387cce1be46
Exploited: Yes
Timestamps
First Seen: 2022-02-22
Asserted: 2022-02-22
Scope
Notes: KEV entry: Zabbix Frontend Authentication Bypass Vulnerability | Affected: Zabbix / Frontend | Description: Unsafe client-side session storage leading to authentication bypass/instance takeover via Zabbix Frontend with configured SAML. | Required action: Apply updates per vendor instructions. | Due date: 2022-03-08 | Known ransomware campaign use (KEV): Unknown | Notes (KEV): https://nvd.nist.gov/vuln/detail/CVE-2022-23131
Evidence
Type: Vendor Report
Signal: Successful Exploitation
Confidence: 80%
Source: cisa-kev
Details
| Cwes | CWE-290 |
|---|---|
| Feed | CISA Known Exploited Vulnerabilities Catalog |
| Product | Frontend |
| Due Date | 2022-03-08 |
| Date Added | 2022-02-22 |
| Vendorproject | Zabbix |
| Vulnerabilityname | Zabbix Frontend Authentication Bypass Vulnerability |
| Knownransomwarecampaignuse | Unknown |
References
Created: 2026-02-02 12:28 UTC
| Updated: 2026-02-06 07:17 UTC
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 52b03d4c-448f-46e8-b580-2f16aa9154c1
Exploited: Yes
Timestamps
First Seen: 2022-02-22
Asserted: 2022-02-22
Scope
Notes: KEVIntel entry: Unsafe client-side session storage leading to authentication bypass/instance takeover via Zabbix Frontend with configured SAML | Affected: Zabbix / Frontend | CVSS: 9.1 (CRITICAL) | Used in malware: unknown | Not yet in CISA KEV: False
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: kevintel
Details
| Feed | KEVIntel (kevintel.com) |
|---|---|
| Title | Unsafe client-side session storage leading to authentication bypass/instance takeover via Zabbix Frontend with configured SAML |
| Vendor | Zabbix |
| Product | Frontend |
| Added Date | 2022-02-22T00:00:00.000Z |
| Cvss Score | 9.1 |
| Epss Score | None |
| Cvss Severity | CRITICAL |
| Epss Percentile | None |
| Used In Malware | unknown |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | False |
References
Created: 2026-06-23 14:04 UTC
| Updated: 2026-07-10 06:14 UTC
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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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