FKIE_CVE-2026-57535
Vulnerability from fkie_nvd - Published: 2026-06-25 15:16 - Updated: 2026-06-25 16:16
Severity
Summary
Content injected to PDF rendering contexts could, in many places, include HTML content including <img> tags. If the src
attribute of these images pointed to an URL, the PDF rendering engine
would download the image from that place and display it, thereby leaking
information about the rendering server and possibly creating an SSRF
vector in the local network.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"collectionURL": "https://pypi.python.org",
"defaultStatus": "unaffected",
"packageName": "pretix",
"product": "pretix",
"repo": "https://github.com/pretix/pretix",
"vendor": "pretix",
"versions": [
{
"lessThan": "2026.3.4",
"status": "affected",
"version": "0",
"versionType": "python"
},
{
"lessThan": "2026.4.4",
"status": "affected",
"version": "2026.4.0",
"versionType": "python"
},
{
"lessThan": "2026.5.2",
"status": "affected",
"version": "2026.5.0",
"versionType": "python"
}
]
}
],
"source": "655498c3-6ec5-4f0b-aea6-853b334d05a6"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Content injected to PDF rendering contexts could, in many places, include HTML content including \u003cimg\u003e tags. If the src\n attribute of these images pointed to an URL, the PDF rendering engine \nwould download the image from that place and display it, thereby leaking\n information about the rendering server and possibly creating an SSRF \nvector in the local network."
}
],
"id": "CVE-2026-57535",
"lastModified": "2026-06-25T16:16:43.370",
"metrics": {
"cvssMetricV40": [
{
"cvssData": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "PRESENT",
"attackVector": "NETWORK",
"availabilityRequirement": "NOT_DEFINED",
"baseScore": 2.1,
"baseSeverity": "LOW",
"confidentialityRequirement": "NOT_DEFINED",
"exploitMaturity": "NOT_DEFINED",
"integrityRequirement": "NOT_DEFINED",
"modifiedAttackComplexity": "NOT_DEFINED",
"modifiedAttackRequirements": "NOT_DEFINED",
"modifiedAttackVector": "NOT_DEFINED",
"modifiedPrivilegesRequired": "NOT_DEFINED",
"modifiedSubAvailabilityImpact": "NOT_DEFINED",
"modifiedSubConfidentialityImpact": "NOT_DEFINED",
"modifiedSubIntegrityImpact": "NOT_DEFINED",
"modifiedUserInteraction": "NOT_DEFINED",
"modifiedVulnAvailabilityImpact": "NOT_DEFINED",
"modifiedVulnConfidentialityImpact": "NOT_DEFINED",
"modifiedVulnIntegrityImpact": "NOT_DEFINED",
"privilegesRequired": "LOW",
"providerUrgency": "NOT_DEFINED",
"subAvailabilityImpact": "LOW",
"subConfidentialityImpact": "LOW",
"subIntegrityImpact": "LOW",
"userInteraction": "PASSIVE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:P/VC:L/VI:L/VA:L/SC:L/SI:L/SA:L/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
"version": "4.0",
"vulnAvailabilityImpact": "LOW",
"vulnConfidentialityImpact": "LOW",
"vulnIntegrityImpact": "LOW",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"source": "655498c3-6ec5-4f0b-aea6-853b334d05a6",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-57535",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-06-25T15:10:42.511872Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-06-25T15:16:41.853",
"references": [
{
"source": "655498c3-6ec5-4f0b-aea6-853b334d05a6",
"url": "https://pretix.eu/about/en/blog/20260625-release-2026-5-2/"
}
],
"sourceIdentifier": "655498c3-6ec5-4f0b-aea6-853b334d05a6",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-80"
}
],
"source": "655498c3-6ec5-4f0b-aea6-853b334d05a6",
"type": "Secondary"
}
]
}
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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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