CVE-2026-57475 (GCVE-0-2026-57475)
Vulnerability from cvelistv5 – Published: 2026-07-10 17:10 – Updated: 2026-08-03 18:19 Exclusively Hosted Service
VLAI
EPSS
VEX
Title
Deloitte AI Assist for Customer unauthenticated configuration write
Summary
Deloitte AI Assist for Customer accepted unauthenticated POST requests through public-facing API endpoints that allowed a remote attacker to make limited additions to the configuration. These additions were not used by the system. On 2026-03-25, AI Assist for Customer restricted network access and enforced authentication for the previously exposed endpoints.
Severity
5.3 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · cisa-cg (v2.0.3)
Decision recorded 2026-06-23 18:30 UTC
CWE
- CWE-306 - Missing Authentication for Critical Function
References
4 references
| URL | Tags |
|---|---|
| https://zerotolerance.me/advisories/deloitte-aias… | third-party-advisory |
| https://zerotolerance.me/advisories/assets/VU4878… | third-party-advisory |
| https://www.cve.org/CVERecord?id=CVE-2026-57475 | vdb-entry |
| https://raw.githubusercontent.com/cisagov/CSAF/de… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Deloitte | AI Assist for Customer |
Affected:
0 , < 2026-03-25
(custom)
Unaffected: 2026-03-25 |
guessed |
Date Public
2026-05-18 00:00
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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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