PYSEC-2026-304
Vulnerability from pysec - Published: 2026-06-29 11:50 - Updated: 2026-07-01 20:22
VLAI
Details
calibreweb prior to version 0.6.17 is vulnerable to server-side request forgery (SSRF). This is due to an incomplete fix for CVE-2022-0339. The blacklist does not check for 0.0.0.0, which would result in a payload of 0.0.0.0 resolving to localhost.
Severity
9.8 (Critical)
Impacted products
| Name | purl | calibreweb | pkg:pypi/calibreweb |
|---|
Aliases
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "calibreweb",
"purl": "pkg:pypi/calibreweb"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "0.6.17"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"0.6.12",
"0.6.13",
"0.6.14",
"0.6.15",
"0.6.16"
]
}
],
"aliases": [
"CVE-2022-0766",
"GHSA-2647-c639-qv2j"
],
"details": "calibreweb prior to version 0.6.17 is vulnerable to server-side request forgery (SSRF). This is due to an incomplete fix for [CVE-2022-0339](https://github.com/advisories/GHSA-4w8p-x6g8-fv64). The blacklist does not check for `0.0.0.0`, which would result in a payload of `0.0.0.0` resolving to `localhost`.",
"id": "PYSEC-2026-304",
"modified": "2026-07-01T20:22:50.148948Z",
"published": "2026-06-29T11:50:32.006359Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-0766"
},
{
"type": "WEB",
"url": "https://github.com/janeczku/calibre-web/commit/965352c8d96c9eae7a6867ff76b0db137d04b0b8"
},
{
"type": "PACKAGE",
"url": "https://github.com/janeczku/calibre-web"
},
{
"type": "WEB",
"url": "https://huntr.dev/bounties/7f2a5bb4-e6c7-4b6a-b8eb-face9e3add7b"
},
{
"type": "PACKAGE",
"url": "https://pypi.org/project/calibreweb"
},
{
"type": "ADVISORY",
"url": "https://github.com/advisories/GHSA-2647-c639-qv2j"
}
],
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
],
"summary": "Server-Side Request Forgery in calibreweb"
}
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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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