CVE-2022-35953 (GCVE-0-2022-35953)
Vulnerability from cvelistv5 – Published: 2022-08-12 20:15 – Updated: 2025-04-22 17:42
VLAI
EPSS
VEX
Title
URL Redirection to Untrusted Site ('Open Redirect') in bookwyrm
Summary
BookWyrm is a social network for tracking your reading, talking about books, writing reviews, and discovering what to read next. Some links in BookWyrm may be vulnerable to tabnabbing, a form of phishing that gives attackers an opportunity to redirect a user to a malicious site. The issue was patched in version 0.4.5.
Severity
7.1 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-22 15:45 UTC
CWE
- CWE-601 - URL Redirection to Untrusted Site ('Open Redirect')
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/bookwyrm-social/bookwyrm/secur… | x_refsource_CONFIRM |
| https://huntr.dev/bounties/67ca22bd-19c6-466b-955… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| bookwyrm-social | bookwyrm |
Affected:
< 0.4.5
|
guessed |
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"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:L/A:H",
"version": "3.1"
}
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "CWE-601: URL Redirection to Untrusted Site (\u0027Open Redirect\u0027)"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://github.com/bookwyrm-social/bookwyrm/security/advisories/GHSA-xq42-mq5w-m24x",
"refsource": "CONFIRM",
"url": "https://github.com/bookwyrm-social/bookwyrm/security/advisories/GHSA-xq42-mq5w-m24x"
},
{
"name": "https://huntr.dev/bounties/67ca22bd-19c6-466b-955a-b1ee2da0c575/",
"refsource": "MISC",
"url": "https://huntr.dev/bounties/67ca22bd-19c6-466b-955a-b1ee2da0c575/"
}
]
},
"source": {
"advisory": "GHSA-xq42-mq5w-m24x",
"discovery": "UNKNOWN"
}
}
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2022-35953",
"datePublished": "2022-08-12T20:15:13.000Z",
"dateReserved": "2022-07-15T00:00:00.000Z",
"dateUpdated": "2025-04-22T17:42:29.535Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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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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