FKIE_CVE-2016-3034
Vulnerability from fkie_nvd - Published: 2017-02-01 20:59 - Updated: 2026-06-17 00:44
Severity
Summary
IBM AppScan Source uses a one-way hash without salt to encrypt highly sensitive information, which could allow a local attacker to decrypt information more easily.
References
| URL | Tags | ||
|---|---|---|---|
| psirt@us.ibm.com | http://www.ibm.com/support/docview.wss?uid=swg21995903 | Patch, Vendor Advisory | |
| psirt@us.ibm.com | http://www.securityfocus.com/bid/95195 | Third Party Advisory, VDB Entry | |
| af854a3a-2127-422b-91ae-364da2661108 | http://www.ibm.com/support/docview.wss?uid=swg21995903 | Patch, Vendor Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | http://www.securityfocus.com/bid/95195 | Third Party Advisory, VDB Entry |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ibm | security_appscan_source | 9.0.1 | |
| ibm | security_appscan_source | 9.0.2 | |
| ibm | security_appscan_source | 9.0.3 |
{
"affected": [
{
"affectedData": [
{
"product": "AppScan Source",
"vendor": "IBM Corporation",
"versions": [
{
"status": "affected",
"version": "7.0"
},
{
"status": "affected",
"version": "8.0"
},
{
"status": "affected",
"version": "8.0.0.1"
},
{
"status": "affected",
"version": "8.0.0.2"
},
{
"status": "affected",
"version": "8.5"
},
{
"status": "affected",
"version": "8.5.0.1"
},
{
"status": "affected",
"version": "8.6"
},
{
"status": "affected",
"version": "8.7"
},
{
"status": "affected",
"version": "8.8"
},
{
"status": "affected",
"version": "9.0"
},
{
"status": "affected",
"version": "9.0.1"
},
{
"status": "affected",
"version": "8.6.0.2"
},
{
"status": "affected",
"version": "8.6.0.1"
},
{
"status": "affected",
"version": "8.7.0.1"
},
{
"status": "affected",
"version": "9.0.0.1"
},
{
"status": "affected",
"version": "9.0.2"
},
{
"status": "affected",
"version": "9.0.3.2"
},
{
"status": "affected",
"version": "9.0.3"
},
{
"status": "affected",
"version": "9.0.3.1"
},
{
"status": "affected",
"version": "9.0.3.3"
},
{
"status": "affected",
"version": "9.0.3.4"
},
{
"status": "affected",
"version": "9.0.3.5"
}
]
}
],
"source": "psirt@us.ibm.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:ibm:security_appscan_source:9.0.1:*:*:*:*:*:*:*",
"matchCriteriaId": "0CDCE5EF-CD70-4B37-818F-226BDC458233",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:ibm:security_appscan_source:9.0.2:*:*:*:*:*:*:*",
"matchCriteriaId": "47D80C99-97BD-4D74-B146-675B20B0193F",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:ibm:security_appscan_source:9.0.3:*:*:*:*:*:*:*",
"matchCriteriaId": "530DE7A6-01F8-4EB5-A395-A5B592BA100F",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "IBM AppScan Source uses a one-way hash without salt to encrypt highly sensitive information, which could allow a local attacker to decrypt information more easily."
},
{
"lang": "es",
"value": "IBM AppScan Source usa un hash unidireccional sin salt para cifrar informaci\u00f3n altamente sensible , lo que podr\u00eda permitir a un atacante local descifrar informaci\u00f3n con mayor facilidad."
}
],
"id": "CVE-2016-3034",
"lastModified": "2026-06-17T00:44:51.207",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "LOW",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 2.1,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "NONE",
"vectorString": "AV:L/AC:L/Au:N/C:P/I:N/A:N",
"version": "2.0"
},
"exploitabilityScore": 3.9,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
],
"cvssMetricV30": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "NONE",
"baseScore": 4.4,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "HIGH",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:L/AC:L/PR:H/UI:N/S:U/C:H/I:N/A:N",
"version": "3.0"
},
"exploitabilityScore": 0.8,
"impactScore": 3.6,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2017-02-01T20:59:00.707",
"references": [
{
"source": "psirt@us.ibm.com",
"tags": [
"Patch",
"Vendor Advisory"
],
"url": "http://www.ibm.com/support/docview.wss?uid=swg21995903"
},
{
"source": "psirt@us.ibm.com",
"tags": [
"Third Party Advisory",
"VDB Entry"
],
"url": "http://www.securityfocus.com/bid/95195"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Patch",
"Vendor Advisory"
],
"url": "http://www.ibm.com/support/docview.wss?uid=swg21995903"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory",
"VDB Entry"
],
"url": "http://www.securityfocus.com/bid/95195"
}
],
"sourceIdentifier": "psirt@us.ibm.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-326"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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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.
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- 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
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