GHSA-39GF-864W-PXW4
Vulnerability from github – Published: 2022-08-23 00:00 – Updated: 2024-11-22 18:11
VLAI
Summary
Unverified Password Change in OctoPrint
Details
Versions of OctoPrint prior to 1.8.3 did not require the current user password in order to change that users password. As a result users could be locked out of their accounts or have their accounts stolen under certain circumstances.
Severity
5.3 (Medium)
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "OctoPrint"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "1.8.3"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2022-2930"
],
"database_specific": {
"cwe_ids": [
"CWE-620"
],
"github_reviewed": true,
"github_reviewed_at": "2022-08-30T20:25:13Z",
"nvd_published_at": "2022-08-22T12:15:00Z",
"severity": "MODERATE"
},
"details": "Versions of OctoPrint prior to 1.8.3 did not require the current user password in order to change that users password. As a result users could be locked out of their accounts or have their accounts stolen under certain circumstances.",
"id": "GHSA-39gf-864w-pxw4",
"modified": "2024-11-22T18:11:50Z",
"published": "2022-08-23T00:00:19Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-2930"
},
{
"type": "WEB",
"url": "https://github.com/octoprint/octoprint/commit/1453076ee3e47fcab2dc73664ec2d61d3ef7fc4f"
},
{
"type": "PACKAGE",
"url": "https://github.com/octoprint/octoprint"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/octoprint/PYSEC-2022-43142.yaml"
},
{
"type": "WEB",
"url": "https://huntr.dev/bounties/da6745e4-7bcc-4e9a-9e96-0709ec9f2477"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L",
"type": "CVSS_V3"
}
],
"summary": "Unverified Password Change in OctoPrint"
}
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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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