CVE-2017-2920 (GCVE-0-2017-2920)
Vulnerability from cvelistv5 – Published: 2017-10-05 19:00 – Updated: 2024-09-17 01:40
VLAI
EPSS
VEX
Summary
An memory corruption vulnerability exists in the .SVG parsing functionality of Computerinsel Photoline 20.02. A specially crafted .SVG file can cause a vulnerability resulting in memory corruption, which can potentially lead to arbitrary code execution. An attacker can send a specific .SVG file to trigger this vulnerability.
Severity
8.8 (High)
CWE
- remote code execution
Assigner
References
4 references
| URL | Tags |
|---|---|
| http://www.securityfocus.com/bid/101186 | vdb-entryx_refsource_BID |
| https://security.gentoo.org/glsa/201908-26 | vendor-advisoryx_refsource_GENTOO |
| https://github.com/libofx/libofx/commit/a70934eea… | x_refsource_CONFIRM |
| https://www.talosintelligence.com/vulnerability_r… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Talos | Computerinsel Photoline |
Affected:
20.02
|
Date Public
2017-10-05 00:00
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"redhat_vex": {
"current_release_date": "2025-11-21T16:34:21+00:00",
"cve": "CVE-2017-2920",
"id": "CVE-2017-2920",
"initial_release_date": "2017-10-04T00:00:00+00:00",
"product_status:known_not_affected": "1",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "libofx: Memory corruption in the .SVG parsing functionality",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2017/cve-2017-2920.json",
"version": "3"
},
"suse_vex": {
"aggregate_severity": "moderate",
"current_release_date": "2026-05-13T16:11:59Z",
"cve": "CVE-2017-2920",
"id": "CVE-2017-2920",
"initial_release_date": "2023-02-15T04:52:34Z",
"product_status:recommended": "48",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2017-2920",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2017-2920.json",
"version": "11"
}
}
}
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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.
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