CVE-2024-1606 (GCVE-0-2024-1606)
Vulnerability from cvelistv5 – Published: 2024-03-18 10:00 – Updated: 2024-08-27 20:06
VLAI
EPSS
VEX
Title
HTML injection in BMC Control-M
Summary
Lack of input sanitization in BMC Control-M branches 9.0.20 and 9.0.21 allows logged-in users for manipulation of generated web pages via injection of HTML code. This might lead to a successful phishing attack for example by tricking users into using a hyperlink pointing to a website controlled by an attacker.
Fix for 9.0.20 branch was released in version 9.0.20.238. Fix for 9.0.21 branch was released in version 9.0.21.200.
Severity
4.6 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-03-19 15:51 UTC
CWE
- CWE-80 - Improper Neutralization of Script-Related HTML Tags in a Web Page
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://cert.pl/posts/2024/03/CVE-2024-1604 | third-party-advisory |
| https://cert.pl/en/posts/2024/03/CVE-2024-1604 | third-party-advisory |
| https://www.bmc.com/it-solutions/control-m.html | product |
Impacted products
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"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:L/I:L/A:N",
"version": "3.1"
},
"format": "CVSS",
"scenarios": [
{
"lang": "en",
"value": "GENERAL"
}
]
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-80",
"description": "CWE-80 Improper Neutralization of Script-Related HTML Tags in a Web Page",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2024-03-18T10:00:05.221Z",
"orgId": "4bb8329e-dd38-46c1-aafb-9bf32bcb93c6",
"shortName": "CERT-PL"
},
"references": [
{
"tags": [
"third-party-advisory"
],
"url": "https://cert.pl/posts/2024/03/CVE-2024-1604"
},
{
"tags": [
"third-party-advisory"
],
"url": "https://cert.pl/en/posts/2024/03/CVE-2024-1604"
},
{
"tags": [
"product"
],
"url": "https://www.bmc.com/it-solutions/control-m.html"
}
],
"source": {
"discovery": "UNKNOWN"
},
"title": "HTML injection in BMC Control-M",
"x_generator": {
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}
}
},
"cveMetadata": {
"assignerOrgId": "4bb8329e-dd38-46c1-aafb-9bf32bcb93c6",
"assignerShortName": "CERT-PL",
"cveId": "CVE-2024-1606",
"datePublished": "2024-03-18T10:00:05.221Z",
"dateReserved": "2024-02-18T21:40:59.791Z",
"dateUpdated": "2024-08-27T20:06:28.801Z",
"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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