FKIE_CVE-2018-16395
Vulnerability from fkie_nvd - Published: 2018-11-16 18:29 - Updated: 2026-06-17 01:44
Severity
Summary
An issue was discovered in the OpenSSL library in Ruby before 2.3.8, 2.4.x before 2.4.5, 2.5.x before 2.5.2, and 2.6.x before 2.6.0-preview3. When two OpenSSL::X509::Name objects are compared using ==, depending on the ordering, non-equal objects may return true. When the first argument is one character longer than the second, or the second argument contains a character that is one less than a character in the same position of the first argument, the result of == will be true. This could be leveraged to create an illegitimate certificate that may be accepted as legitimate and then used in signing or encryption operations.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ruby-lang | openssl | * | |
| ruby-lang | ruby | * | |
| ruby-lang | ruby | * | |
| ruby-lang | ruby | * | |
| ruby-lang | ruby | 2.6.0 | |
| ruby-lang | ruby | 2.6.0 | |
| canonical | ubuntu_linux | 14.04 | |
| canonical | ubuntu_linux | 16.04 | |
| canonical | ubuntu_linux | 18.04 | |
| canonical | ubuntu_linux | 18.10 | |
| debian | debian_linux | 8.0 | |
| debian | debian_linux | 9.0 | |
| redhat | enterprise_linux | 7.4 |
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"value": "Se ha descubierto un problema en la biblioteca OpenSSL en Ruby, en versiones anteriores a la 2.3.8, versiones 2.4.x anteriores a la 2.4.5, versiones 2.5.x anteriores a la 2.5.2 y versiones 2.6.x anteriores a la 2.6.0-preview3. Cuando dos objetos OpenSSL::X509::Name se comparan mediante ==, dependiendo del orden, los objetos que no son iguales podr\u00edan devolver \"true\". Cuando el primer argumento tiene un car\u00e1cter m\u00e1s que el segundo, o el segundo argumento contiene un car\u00e1cter que tiene uno menos que el car\u00e1cter en la misma posici\u00f3n que el primer argumento, el resultado de == ser\u00e1 \"true\". Esto podr\u00eda aprovecharse para crear un certificado ileg\u00edtimo que podr\u00eda ser aceptado como leg\u00edtimo y despu\u00e9s emplearse en operaciones de firma o cifrado."
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"id": "CVE-2018-16395",
"lastModified": "2026-06-17T01:44:12.863",
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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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