CVE-2026-35001 (GCVE-0-2026-35001)
Vulnerability from cvelistv5 – Published: 2026-10-13 01:39 – Updated: 2026-10-13 01:39
VLAI
EPSS
VEX
Title
OpenS100 S-102 Parser Integer Overflow Heap Buffer Overflow
Summary
OpenS100 through commit daa35b contains an integer overflow vulnerability in the S-102 Bathymetric Surface parser that allows remote attackers to cause a heap-based buffer overflow by opening a crafted S-102 HDF5 file with malicious grid dimension metadata. Attackers can exploit the unvalidated multiplication of numPointsLatitudinal and numPointsLongitudinal values in the S102_VG_BathymetryCoverage::Read() function to trigger a 32-bit integer wraparound, resulting in undersized heap buffer allocation and subsequent out-of-bounds writes that lead to application crash or arbitrary code execution.
Severity
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://doi.org/10.3390/s26206448 | technical-descriptionexploit |
| https://www.vulncheck.com/advisories/opens100-s-1… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| OpenS100 Project | OpenS100 |
Affected:
0 , ≤ daaa35b19b789aa4b170bdcc300763a287d73164
(git)
|
guessed |
Date Public
2026-10-12 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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