CVE-2016-10506 (GCVE-0-2016-10506)
Vulnerability from cvelistv5 – Published: 2017-08-30 09:00 – Updated: 2024-08-06 03:21
VLAI
EPSS
VEX
Summary
Division-by-zero vulnerabilities in the functions opj_pi_next_cprl, opj_pi_next_pcrl, and opj_pi_next_rpcl in pi.c in OpenJPEG before 2.2.0 allow remote attackers to cause a denial of service (application crash) via crafted j2k files.
Severity
6.5 (Medium)
CWE
- n/a
Assigner
References
9 references
| URL | Tags |
|---|---|
| http://www.securityfocus.com/bid/100573 | vdb-entryx_refsource_BID |
| https://github.com/uclouvain/openjpeg/commit/d27c… | x_refsource_CONFIRM |
| https://security.gentoo.org/glsa/201710-26 | vendor-advisoryx_refsource_GENTOO |
| https://github.com/uclouvain/openjpeg/issues/779 | x_refsource_CONFIRM |
| https://github.com/uclouvain/openjpeg/issues/732 | x_refsource_CONFIRM |
| https://github.com/uclouvain/openjpeg/issues/780 | x_refsource_CONFIRM |
| https://github.com/uclouvain/openjpeg/issues/777 | x_refsource_CONFIRM |
| https://github.com/uclouvain/openjpeg/issues/731 | x_refsource_CONFIRM |
| https://github.com/uclouvain/openjpeg/issues/778 | x_refsource_CONFIRM |
Date Public
2017-08-30 00:00
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"type": "Primary"
}
]
}
},
"redhat_vex": {
"aggregate_severity": "Low",
"current_release_date": "2026-05-13T03:43:41+00:00",
"cve": "CVE-2016-10506",
"id": "CVE-2016-10506",
"initial_release_date": "2016-01-01T00:00:00+00:00",
"product_status:known_affected": "8",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "openjpeg: Division by zero in functions opj_pi_next_cprl, opj_pi_next_pcrl, and opj_pi_next_rpcl in pi.c",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2016/cve-2016-10506.json",
"version": "3"
},
"suse_vex": {
"aggregate_severity": "moderate",
"current_release_date": "2026-09-13T00:19:30Z",
"cve": "CVE-2016-10506",
"id": "CVE-2016-10506",
"initial_release_date": "2023-02-15T04:53:35Z",
"product_status:known_not_affected": "121",
"product_status:recommended": "183",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2016-10506",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2016-10506.json",
"version": "17"
}
}
}
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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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