CVE-2017-1214 (GCVE-0-2017-1214)
Vulnerability from cvelistv5 – Published: 2017-06-12 19:00 – Updated: 2024-08-05 13:25
VLAI
EPSS
VEX
Summary
IBM iNotes 8.5 and 9.0 could allow a remote attacker to send a malformed email to a victim, that when opened could cause an information disclosure. IBM X-Force ID: 123854.
Severity
5.7 (Medium)
CWE
- Obtain Information
Assigner
References
3 references
| URL | Tags |
|---|---|
| http://www.securitytracker.com/id/1038654 | vdb-entryx_refsource_SECTRACK |
| https://exchange.xforce.ibmcloud.com/vulnerabilit… | x_refsource_MISC |
| http://www.ibm.com/support/docview.wss?uid=swg22002015 | x_refsource_CONFIRM |
Impacted products
Date Public
2017-06-01 00:00
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"criteria": "cpe:2.3:a:ibm:inotes:9.0.1.3:*:*:*:*:*:*:*",
"matchCriteriaId": "521E7EBE-CEA6-4FF8-954A-2A43617FB1C4",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:ibm:inotes:9.0.1.4:*:*:*:*:*:*:*",
"matchCriteriaId": "30460A5C-2D97-42B5-A190-5E0862E87EDA",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:ibm:inotes:9.0.1.5:*:*:*:*:*:*:*",
"matchCriteriaId": "31391143-EE89-4521-81F4-43455AAF7D50",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:ibm:inotes:9.0.1.6:*:*:*:*:*:*:*",
"matchCriteriaId": "5344290B-F139-4367-B976-C2E8007487F6",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:ibm:inotes:9.0.1.7:*:*:*:*:*:*:*",
"matchCriteriaId": "664379F7-CE42-4717-A887-F79E6AF8014E",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "IBM iNotes 8.5 and 9.0 could allow a remote attacker to send a malformed email to a victim, that when opened could cause an information disclosure. IBM X-Force ID: 123854."
},
{
"lang": "es",
"value": "IBM iNotes 8.5 y 9.0 permite a un atacante remoto enviar emails malformados a la victima, entonces cuando sea abierto puede resultar en la revelaci\u00f3n de informaci\u00f3n. IBM X-Force ID: 123854."
}
],
"id": "CVE-2017-1214",
"lastModified": "2026-05-13T00:24:29.033",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "LOW",
"cvssData": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "NONE",
"baseScore": 3.5,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:M/Au:S/C:P/I:N/A:N",
"version": "2.0"
},
"exploitabilityScore": 6.8,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": true
}
],
"cvssMetricV30": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.7,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:L/UI:R/S:U/C:H/I:N/A:N",
"version": "3.0"
},
"exploitabilityScore": 2.1,
"impactScore": 3.6,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2017-06-12T19:29:00.213",
"references": [
{
"source": "psirt@us.ibm.com",
"tags": [
"Patch",
"Vendor Advisory"
],
"url": "http://www.ibm.com/support/docview.wss?uid=swg22002015"
},
{
"source": "psirt@us.ibm.com",
"url": "http://www.securitytracker.com/id/1038654"
},
{
"source": "psirt@us.ibm.com",
"tags": [
"VDB Entry",
"Vendor Advisory"
],
"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/123854"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Patch",
"Vendor Advisory"
],
"url": "http://www.ibm.com/support/docview.wss?uid=swg22002015"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://www.securitytracker.com/id/1038654"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"VDB Entry",
"Vendor Advisory"
],
"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/123854"
}
],
"sourceIdentifier": "psirt@us.ibm.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-200"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
}
}
}
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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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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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.