GSD-2020-4695
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
IBM API Connect V10 is impacted by insecure communications during database replication. As the data replication happens over insecure communication channels, an attacker can view unencrypted data leading to a loss of confidentiality.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2020-4695",
"description": "IBM API Connect V10 is impacted by insecure communications during database replication. As the data replication happens over insecure communication channels, an attacker can view unencrypted data leading to a loss of confidentiality.",
"id": "GSD-2020-4695"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2020-4695"
],
"details": "IBM API Connect V10 is impacted by insecure communications during database replication. As the data replication happens over insecure communication channels, an attacker can view unencrypted data leading to a loss of confidentiality.",
"id": "GSD-2020-4695",
"modified": "2023-12-13T01:21:47.883196Z",
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}
},
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"STATE": "PUBLIC"
},
"affects": {
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"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "API Connect",
"version": {
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{
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},
{
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}
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}
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},
"impact": {
"cvssv3": {
"BM": {
"A": "N",
"AC": "H",
"AV": "N",
"C": "H",
"I": "N",
"PR": "N",
"S": "U",
"SCORE": "5.900",
"UI": "N"
},
"TM": {
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"RC": "C",
"RL": "O"
}
}
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"problemtype": {
"problemtype_data": [
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"description": [
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"value": "Obtain Information"
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"references": {
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"name": "https://www.ibm.com/support/pages/node/6426707",
"refsource": "CONFIRM",
"title": "IBM Security Bulletin 6426707 (API Connect)",
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},
{
"name": "ibm-api-cve20204695-info-disc (186788)",
"refsource": "XF",
"title": "X-Force Vulnerability Report",
"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/186788"
}
]
}
},
"nvd.nist.gov": {
"configurations": {
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"nodes": [
{
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"cpe_match": [
{
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"cpe_name": [],
"versionEndIncluding": "10.0.1.0",
"versionStartIncluding": "10.0.0.0",
"vulnerable": true
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"description": {
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},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
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"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 5.0,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:N/A:N",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
},
"baseMetricV3": {
"cvssV3": {
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"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
},
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"impactScore": 3.6
}
},
"lastModifiedDate": "2021-07-21T11:39Z",
"publishedDate": "2021-03-08T18:15Z"
}
}
}
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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 |
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Nomenclature
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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.
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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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