GSD-2024-2493
Vulnerability from gsd - Updated: 2024-04-02 05:02Details
Session Hijacking vulnerability in Hitachi Ops Center Analyzer.This issue affects Hitachi Ops Center Analyzer: from 10.0.0-00 before 11.0.1-00.
Aliases
{
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2024-2493"
],
"details": "Session Hijacking vulnerability in Hitachi Ops Center Analyzer.This issue affects Hitachi Ops Center Analyzer: from 10.0.0-00 before 11.0.1-00.\n\n",
"id": "GSD-2024-2493",
"modified": "2024-04-02T05:02:53.152999Z",
"schema_version": "1.4.0"
}
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"ID": "CVE-2024-2493",
"STATE": "PUBLIC"
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"affects": {
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"product_name": "Hitachi Ops Center Analyzer",
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"version_value": "not down converted",
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"value": "Session Hijacking vulnerability in Hitachi Ops Center Analyzer.This issue affects Hitachi Ops Center Analyzer: from 10.0.0-00 before 11.0.1-00.\n\n"
}
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"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.5,
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"confidentialityImpact": "HIGH",
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"scope": "UNCHANGED",
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"description": [
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"cweId": "CWE-614",
"lang": "eng",
"value": "CWE-614 Sensitive Cookie in HTTPS Session Without \u0027Secure\u0027 Attribute"
}
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"name": "https://www.hitachi.com/products/it/software/security/info/vuls/hitachi-sec-2024-122/index.html",
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"source": {
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"discovery": "UNKNOWN"
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"descriptions": [
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"value": "Session Hijacking vulnerability in Hitachi Ops Center Analyzer.This issue affects Hitachi Ops Center Analyzer: from 10.0.0-00 before 11.0.1-00.\n\n"
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"lang": "es",
"value": "Vulnerabilidad de secuestro de sesi\u00f3n en Hitachi Ops Center Analyzer. Este problema afecta a Hitachi Ops Center Analyzer: desde 10.0.0-00 antes de 11.0.1-00."
}
],
"id": "CVE-2024-2493",
"lastModified": "2024-04-23T12:52:09.397",
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"published": "2024-04-23T06:15:06.797",
"references": [
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"source": "hirt@hitachi.co.jp",
"url": "https://www.hitachi.com/products/it/software/security/info/vuls/hitachi-sec-2024-122/index.html"
}
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}
}
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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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