FKIE_CVE-2018-20650
Vulnerability from fkie_nvd - Published: 2019-01-01 16:29 - Updated: 2026-06-17 01:53
Severity
Summary
A reachable Object::dictLookup assertion in Poppler 0.72.0 allows attackers to cause a denial of service due to the lack of a check for the dict data type, as demonstrated by use of the FileSpec class (in FileSpec.cc) in pdfdetach.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| freedesktop | poppler | 0.72.0 | |
| 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 | |
| debian | debian_linux | 10.0 | |
| redhat | enterprise_linux | 8.0 | |
| redhat | enterprise_linux_desktop | 7.0 | |
| redhat | enterprise_linux_eus | 8.1 | |
| redhat | enterprise_linux_eus | 8.2 | |
| redhat | enterprise_linux_eus | 8.4 | |
| redhat | enterprise_linux_eus | 8.6 | |
| redhat | enterprise_linux_server | 7.0 | |
| redhat | enterprise_linux_server_aus | 8.2 | |
| redhat | enterprise_linux_server_aus | 8.4 | |
| redhat | enterprise_linux_server_aus | 8.6 | |
| redhat | enterprise_linux_server_tus | 8.2 | |
| redhat | enterprise_linux_server_tus | 8.4 | |
| redhat | enterprise_linux_server_tus | 8.6 | |
| redhat | enterprise_linux_workstation | 7.0 |
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"lang": "en",
"value": "A reachable Object::dictLookup assertion in Poppler 0.72.0 allows attackers to cause a denial of service due to the lack of a check for the dict data type, as demonstrated by use of the FileSpec class (in FileSpec.cc) in pdfdetach."
},
{
"lang": "es",
"value": "Una aserci\u00f3n alcanzable en Object::dictLookup en Poppler 0.72.0 permite a los atacantes provocar una denegaci\u00f3n de servicio (DoS) debido a la falta de comprobaci\u00f3n del tipo de datos del directorio, tal y como queda demostrado con el uso de la clase FileSpec (en FileSpec.cc) en pdfdetach."
}
],
"id": "CVE-2018-20650",
"lastModified": "2026-06-17T01:53:15.980",
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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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