CVE-2026-105324 (GCVE-0-2026-105324)
Vulnerability from cvelistv5 – Published: 2026-10-07 01:12 – Updated: 2026-10-07 01:36
VLAI
EPSS
VEX
Title
An HTTP header injection vulnerability was found in the ADM
Summary
An HTTP header injection vulnerability in start-page-loader.cgi of ADM allows an unauthenticated remote attacker to read arbitrary files on the host system. By sending a crafted HTTP request with injected headers via the state parameter, the attacker can leverage the underlying web server's X-Sendfile mechanism to retrieve sensitive files without authentication.
Affected products and versions include: from ADM 4.1.0 through ADM 4.3.3.RWC1 as well as from ADM 5.0.0 through ADM 5.1.4.RL21.
Severity
CWE
- CWE-113 - Improper neutralization of CRLF sequences in HTTP headers ('HTTP Request/Response splitting')
References
1 reference
| URL | Tags |
|---|---|
| https://www.asustor.com/security/security_advisor… | vendor-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| ASUSTOR Inc. | ADM |
Affected:
5.0.0 , ≤ 5.1.4.RL21
(custom)
Affected: 4.1.0 , ≤ 4.3.3.RWC1 (custom) |
guessed |
Date Public
2026-10-07 01:12
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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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