CVE-2017-9229 (GCVE-0-2017-9229)
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 SIGSEGV occurs in left_adjust_char_head() during regular expression compilation. Invalid handling of reg->dmax in forward_search_range() could result in an invalid pointer dereference, normally as an immediate denial-of-service condition.
Severity
7.5 (High)
CWE
- n/a
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/kkos/oniguruma/commit/b690371b… | x_refsource_CONFIRM |
| https://access.redhat.com/errata/RHSA-2018:1296 | vendor-advisoryx_refsource_REDHAT |
| https://github.com/kkos/oniguruma/issues/59 | x_refsource_CONFIRM |
Date Public
2017-05-24 00:00
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"redhat_vex": {
"aggregate_severity": "Moderate",
"current_release_date": "2026-06-28T11:52:34+00:00",
"cve": "CVE-2017-9229",
"id": "CVE-2017-9229",
"initial_release_date": "2017-05-23T00:00:00+00:00",
"product_status:fixed": "257",
"product_status:known_affected": "174",
"product_status:under_investigation": "3",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "oniguruma: Invalid pointer dereference in left_adjust_char_head()",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2017/cve-2017-9229.json",
"version": "3"
},
"suse_vex": {
"aggregate_severity": "moderate",
"current_release_date": "2026-08-31T09:06:00Z",
"cve": "CVE-2017-9229",
"id": "CVE-2017-9229",
"initial_release_date": "2023-02-15T04:45:00Z",
"product_status:known_affected": "4",
"product_status:known_not_affected": "2593",
"product_status:recommended": "1590",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2017-9229",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2017-9229.json",
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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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