CVE-2017-9226 (GCVE-0-2017-9226)
Vulnerability from cvelistv5 – Published: 2017-05-24 15:00 – Updated: 2024-08-05 17:02
VLAI
EPSS
VEX
Summary
An issue was discovered in Oniguruma 6.2.0, as used in Oniguruma-mod in Ruby through 2.4.1 and mbstring in PHP through 7.1.5. A heap out-of-bounds write or read occurs in next_state_val() during regular expression compilation. Octal numbers larger than 0xff are not handled correctly in fetch_token() and fetch_token_in_cc(). A malformed regular expression containing an octal number in the form of '\700' would produce an invalid code point value larger than 0xff in next_state_val(), resulting in an out-of-bounds write memory corruption.
Severity
9.8 (Critical)
CWE
- n/a
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://github.com/kkos/oniguruma/issues/55 | x_refsource_CONFIRM |
| https://access.redhat.com/errata/RHSA-2018:1296 | vendor-advisoryx_refsource_REDHAT |
| https://github.com/kkos/oniguruma/commit/f015fbdd… | x_refsource_CONFIRM |
| https://github.com/kkos/oniguruma/commit/b4bf968a… | x_refsource_CONFIRM |
| http://www.securityfocus.com/bid/101244 | vdb-entryx_refsource_BID |
Date Public
2017-05-24 00:00
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"id": "CVE-2017-9226",
"initial_release_date": "2023-02-15T04:45:01Z",
"product_status:known_not_affected": "2",
"product_status:recommended": "1507",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2017-9226",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2017-9226.json",
"version": "16"
}
}
}
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Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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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.