CVE-2017-12818 (GCVE-0-2017-12818)
Vulnerability from cvelistv5 – Published: 2017-10-03 13:00 – Updated: 2024-09-16 20:47
VLAI
EPSS
VEX
Summary
Stack overflow in custom XML-parser in Gemalto's HASP SRM, Sentinel HASP and Sentinel LDK products prior to Sentinel LDK RTE version 7.55 leads to remote denial of service.
Severity
7.5 (High)
CWE
- Stack overflow in custom XML-parser leads to remote denial of service
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://ics-cert.us-cert.gov/advisories/ICSA-18-093-01 | x_refsource_MISC |
| https://ics-cert.kaspersky.com/advisories/klcert-… | x_refsource_MISC |
| https://cert-portal.siemens.com/productcert/pdf/s… | x_refsource_CONFIRM |
| http://www.securityfocus.com/bid/102906 | vdb-entryx_refsource_BID |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Gemalto | Gemalto's HASP SRM, Sentinel HASP and Sentinel LDK products prior to Sentinel LDK RTE |
Affected:
7.55
|
guessed |
Date Public
2017-10-02 00:00
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}
}
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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.
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.
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