CVE-2024-23788 (GCVE-0-2024-23788)
Vulnerability from cvelistv5 – Published: 2024-02-14 10:10 – Updated: 2025-03-19 13:44
VLAI
EPSS
VEX
Summary
Server-side request forgery vulnerability in Energy Management Controller with Cloud Services JH-RVB1 /JH-RV11 Ver.B0.1.9.1 and earlier allows a network-adjacent unauthenticated attacker to send an arbitrary HTTP request (GET) from the affected product.
Severity
9.1 (Critical)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-08-09 16:01 UTC
CWE
- Server-Side Request Forgery (SSRF)
- CWE-918 - Server-Side Request Forgery (SSRF)
Assigner
References
Impacted products
3 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| SHARP CORPORATION | Energy Management Controller with Cloud Services |
Affected:
JH-RVB1 Ver.B0.1.9.1 and earlier
|
guessed | |
| SHARP CORPORATION | Energy Management Controller with Cloud Services |
Affected:
JH-RV11 Ver.B0.1.9.1 and earlier
|
guessed | |
| sharp_corporation | energy_management_controller_with_cloud_services |
Affected:
0 , < jh-rvb1_ver.b0.1.9.1
(custom)
Affected: 0 , < jh-rv11_ver.b0.1.9.1 (custom) cpe:2.3:a:sharp_corporation:energy_management_controller_with_cloud_services:*:*:*:*:*:*:*:* |
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{
"status": "affected",
"version": "JH-RV11 Ver.B0.1.9.1 and earlier"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "Server-side request forgery vulnerability in Energy Management Controller with Cloud Services JH-RVB1 /JH-RV11 Ver.B0.1.9.1 and earlier allows a network-adjacent unauthenticated attacker to send an arbitrary HTTP request (GET) from the affected product."
}
],
"problemTypes": [
{
"descriptions": [
{
"description": "Server-Side Request Forgery (SSRF)",
"lang": "en",
"type": "text"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2024-02-14T10:10:41.448Z",
"orgId": "ede6fdc4-6654-4307-a26d-3331c018e2ce",
"shortName": "jpcert"
},
"references": [
{
"url": "https://jp.sharp/support/taiyo/info/JVNVU94591337_en.pdf"
},
{
"url": "https://jp.sharp/support/taiyo/info/JVNVU94591337_jp.pdf"
},
{
"url": "https://jvn.jp/en/vu/JVNVU94591337/"
}
]
}
},
"cveMetadata": {
"assignerOrgId": "ede6fdc4-6654-4307-a26d-3331c018e2ce",
"assignerShortName": "jpcert",
"cveId": "CVE-2024-23788",
"datePublished": "2024-02-14T10:10:41.448Z",
"dateReserved": "2024-01-22T09:56:37.455Z",
"dateUpdated": "2025-03-19T13:44:59.100Z",
"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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