CVE-2022-0155 (GCVE-0-2022-0155)
Vulnerability from cvelistv5 – Published: 2022-01-10 19:30 – Updated: 2024-08-02 23:18
VLAI
EPSS
VEX
Title
Exposure of Private Personal Information to an Unauthorized Actor in follow-redirects/follow-redirects
Summary
follow-redirects is vulnerable to Exposure of Private Personal Information to an Unauthorized Actor
Severity
CWE
- CWE-359 - Exposure of Private Personal Information to an Unauthorized Actor
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://huntr.dev/bounties/fc524e4b-ebb6-427d-ab6… | x_refsource_CONFIRM |
| https://github.com/follow-redirects/follow-redire… | x_refsource_MISC |
| https://cert-portal.siemens.com/productcert/pdf/s… | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| follow-redirects | follow-redirects/follow-redirects |
Affected:
unspecified , < 1.14.7
(custom)
|
guessed |
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"redhat_vex": {
"aggregate_severity": "Moderate",
"current_release_date": "2026-09-14T12:25:01+00:00",
"cve": "CVE-2022-0155",
"id": "CVE-2022-0155",
"initial_release_date": "2022-01-10T00:00:00+00:00",
"product_status:fixed": "496",
"product_status:known_affected": "10",
"product_status:known_not_affected": "106",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "follow-redirects: Exposure of Private Personal Information to an Unauthorized Actor",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2022/cve-2022-0155.json",
"version": "3"
},
"suse_vex": {
"aggregate_severity": "moderate",
"current_release_date": "2026-06-19T02:08:51Z",
"cve": "CVE-2022-0155",
"id": "CVE-2022-0155",
"initial_release_date": "2023-02-23T03:22:28Z",
"product_status:recommended": "278",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2022-0155",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2022-0155.json",
"version": "19"
}
}
}
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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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