CVE-2024-5650 (GCVE-0-2024-5650)
Vulnerability from cvelistv5 – Published: 2024-06-17 06:21 – Updated: 2024-08-01 21:18
VLAI
EPSS
VEX
Summary
DLL Hijacking vulnerability has been found in CENTUM CAMS Log server provided by Yokogawa Electric Corporation. If an attacker is somehow able to intrude into a computer that installed affected product or access to a shared folder, by replacing the DLL file with a tampered one, it is possible to execute arbitrary programs with the authority of the SYSTEM account.
The affected products and versions are as follows:
CENTUM CS 3000 R3.08.10 to R3.09.50
CENTUM VP R4.01.00 to R4.03.00, R5.01.00 to R5.04.20, R6.01.00 to R6.11.10.
Severity
8.5 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-06-17 13:51 UTC
CWE
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://web-material3.yokogawa.com/1/36044/files/… | vendor-advisory |
Impacted products
6 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Yokogawa Electric Corporation | CENTUM CS 3000 |
Affected:
R3.08.10 , ≤ R3.09.50
(custom)
|
guessed | |
| Yokogawa Electric Corporation | CENTUM VP |
Affected:
R4.01.00 , ≤ R4.03.00
(custom)
Affected: R5.01.00 , ≤ R5.04.20 (custom) Affected: R6.01.00 , ≤ R6.11.10 (custom) |
guessed | |
| yokogawa | centum_cs_3000 |
Affected:
r3.08.10 , ≤ r3.09.50
(custom)
cpe:2.3:h:yokogawa:centum_cs_3000:r3.08.10:*:*:*:*:*:*:* |
||
| yokogawa | centum_vp |
Affected:
r4.01.00 , ≤ f4.03.00
(custom)
cpe:2.3:a:yokogawa:centum_vp:r4.01.00:*:*:*:-:*:*:* |
||
| yokogawa | centum_vp |
Affected:
r5.01.00 , ≤ r5.04.20
(custom)
cpe:2.3:a:yokogawa:centum_vp:r6.01.00:*:*:*:*:*:*:* |
||
| yokogawa | centum_vp |
Affected:
r6.01.00 , ≤ r6.11.10
(custom)
cpe:2.3:a:yokogawa:centum_vp:r6.01.00:*:*:*:*:*:*:* |
Date Public
2024-06-17 03:00
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],
"datePublic": "2024-06-17T03:00:00.000Z",
"descriptions": [
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"lang": "en",
"supportingMedia": [
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"type": "text/html",
"value": "DLL Hijacking vulnerability has been found in CENTUM CAMS Log server provided by Yokogawa Electric Corporation. If an attacker is somehow able to intrude into a computer that installed affected product or access to a shared folder, by replacing the DLL file with a tampered one, it is possible to execute arbitrary programs with the authority of the SYSTEM account.\u003cbr\u003e\u003cbr\u003eThe affected products and versions are as follows:\u003cbr\u003eCENTUM CS 3000 R3.08.10 to R3.09.50\u003cbr\u003eCENTUM VP R4.01.00 to R4.03.00, R5.01.00 to R5.04.20, R6.01.00 to R6.11.10."
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"value": "DLL Hijacking vulnerability has been found in CENTUM CAMS Log server provided by Yokogawa Electric Corporation. If an attacker is somehow able to intrude into a computer that installed affected product or access to a shared folder, by replacing the DLL file with a tampered one, it is possible to execute arbitrary programs with the authority of the SYSTEM account.\n\nThe affected products and versions are as follows:\nCENTUM CS 3000 R3.08.10 to R3.09.50\nCENTUM VP R4.01.00 to R4.03.00, R5.01.00 to R5.04.20, R6.01.00 to R6.11.10."
}
],
"metrics": [
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"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:H/A:H",
"version": "3.1"
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"descriptions": [
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"description": "CWE-284",
"lang": "en",
"type": "CWE"
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],
"providerMetadata": {
"dateUpdated": "2024-06-17T06:21:31.387Z",
"orgId": "7168b535-132a-4efe-a076-338f829b2eb9",
"shortName": "YokogawaGroup"
},
"references": [
{
"tags": [
"vendor-advisory"
],
"url": "https://web-material3.yokogawa.com/1/36044/files/YSAR-24-0002-E.pdf"
}
],
"source": {
"discovery": "UNKNOWN"
},
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"cveId": "CVE-2024-5650",
"datePublished": "2024-06-17T06:21:31.387Z",
"dateReserved": "2024-06-05T05:32:13.103Z",
"dateUpdated": "2024-08-01T21:18:06.883Z",
"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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