CVE-2022-29840 (GCVE-0-2022-29840)
Vulnerability from cvelistv5 – Published: 2023-05-10 22:09 – Updated: 2025-01-24 21:01
VLAI
EPSS
VEX
Title
Server Side Request Forgery Vulnerability in Western Digital My Cloud Devices
Summary
Server-Side Request Forgery (SSRF) vulnerability that could allow a rogue server on the local network to modify its URL to point back to the loopback adapter was addressed in Western Digital My Cloud OS 5 devices. This could allow the URL to exploit other vulnerabilities on the local server.This issue affects My Cloud OS 5 devices before 5.26.202.
Severity
5.1 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-01-24 21:01 UTC
CWE
- CWE-918 - Server-Side Request Forgery (SSRF)
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Western Digital | My Cloud OS 5 |
Affected:
0 , < 5.26.202
(custom)
|
guessed |
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},
"references": [
{
"url": "https://www.westerndigital.com/support/product-security/wdc-23006-my-cloud-firmware-version-5-26-202"
}
],
"solutions": [
{
"lang": "en",
"supportingMedia": [
{
"base64": false,
"type": "text/html",
"value": "\n\n\n\n\n\n\n\n\n\n\u003cp\u003eFor My Cloud OS 5 devices, Western Digital recommends\nthat users promptly update their devices to the latest firmware by clicking on\nthe firmware update notification.\u003c/p\u003e"
}
],
"value": "\n\n\n\n\n\n\n\n\nFor My Cloud OS 5 devices, Western Digital recommends\nthat users promptly update their devices to the latest firmware by clicking on\nthe firmware update notification.\n\n"
}
],
"source": {
"discovery": "EXTERNAL"
},
"title": "Server Side Request Forgery Vulnerability in Western Digital My Cloud Devices",
"x_generator": {
"engine": "Vulnogram 0.1.0-dev"
}
}
},
"cveMetadata": {
"assignerOrgId": "cb3b742e-5145-4748-b44b-5ffd45bf3b6a",
"assignerShortName": "WDC PSIRT",
"cveId": "CVE-2022-29840",
"datePublished": "2023-05-10T22:09:28.939Z",
"dateReserved": "2022-04-27T20:53:48.676Z",
"dateUpdated": "2025-01-24T21:01:46.538Z",
"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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