CVE-2025-35041 (GCVE-0-2025-35041)
Vulnerability from cvelistv5 – Published: 2025-09-22 15:56 – Updated: 2025-09-30 16:46
VLAI
EPSS
VEX
Title
Airship AI Acropolis MFA insufficient rate limiting
Summary
Airship AI Acropolis allows unlimited MFA attempts for 15 minutes after a user has logged in with valid credentials. A remote attacker with valid credentials could brute-force the 6-digit MFA code. Fixed in 10.2.35, 11.0.21, and 11.1.9.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · cisa-cg (v2.0.3)
Decision recorded 2025-09-10 14:48 UTC
CWE
- CWE-307 - Improper Restriction of Excessive Authentication Attempts
References
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Airship AI | Acropolis |
Affected:
0 , < 10.2.35
(custom)
Affected: 0 , < 11.0.21 (custom) Affected: 0 , < 11.1.9 (custom) Unaffected: 10.2.35 Unaffected: 11.0.21 Unaffected: 11.1.9 |
guessed |
Date Public
2025-09-22 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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