CVE-2026-56733 (GCVE-0-2026-56733)
Vulnerability from cvelistv5 – Published: 2026-09-25 17:05 – Updated: 2026-09-25 18:37
VLAI
EPSS
VEX
Title
Zammad: Incorrect Authorization and Improper Privilege Management
Summary
Zammad is a web based open source helpdesk/customer support system. Prior to 7.0.2 and 7.1.0, this issue concerns a lack of discursive validation within the authorization cascade. It has been determined that the system-level enforcement of access restrictions during the initialization of new identity objects exhibits a discrepancy: Under specific conditions, the granular restrictions of the access key being used are overridden by the latent authorization authority of the parent account. Consequently, this means that the intended separation of functional areas is nullified, resulting in an uncontrolled expansion of administrative discretion. Due to this potential integrity breach of the entire trust environment, an immediate evaluation of the authorization hierarchies is imperative. Impact An attacker can create new administrator accounts despite token restrictions. This grants full access to all system data (tickets, customers, configuration) and allows the attacker to take complete control of the Zammad instance. Abuse Scenario The vulnerability stems from a lack of synergy between the token-based authorization logic and the target system's functional authorization hierarchy, which allows for iterative escalation of the privileged access context. This issue is fixed in versions 7.0.2 and 7.1.0.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-25 18:37 UTC
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://github.com/zammad/zammad/security/advisor… | x_refsource_CONFIRM |
| https://github.com/zammad/zammad/commit/e50ef69be… | x_refsource_MISC |
| https://github.com/zammad/zammad/commit/f059eb2d9… | x_refsource_MISC |
| https://github.com/zammad/zammad/releases/tag/7.0.2 | x_refsource_MISC |
| https://github.com/zammad/zammad/releases/tag/7.1.0 | x_refsource_MISC |
Impacted products
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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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