CVE-2018-10470 (GCVE-0-2018-10470)
Vulnerability from cvelistv5 – Published: 2018-06-12 17:00 – Updated: 2024-09-16 21:03
VLAI
EPSS
VEX
Summary
Little Snitch versions 4.0 to 4.0.6 use the SecStaticCodeCheckValidityWithErrors() function without the kSecCSCheckAllArchitectures flag and therefore do not validate all architectures stored in a fat binary. An attacker can maliciously craft a fat binary containing multiple architectures that may cause a situation where Little Snitch treats the running process as having no code signature at all while erroneously indicating that the binary on disk does have a valid code signature. This could lead to users being confused about whether or not the code signature is valid.
Severity
No CVSS data available.
CWE
- CWE-347 - Improper Verification of Cryptographic Signature
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://obdev.at/cve/2018-10470-8FRWkW4oH8.html | x_refsource_CONFIRM |
| https://www.okta.com/security-blog/2018/06/issues… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Objective Development Software GmbH | Little Snitch |
Affected:
4.0 - 4.0.6
|
Date Public
2018-06-12 00:00
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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.
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- 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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