GSD-2022-40722
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
A misconfiguration of RSA padding implemented in the PingID Adapter for PingFederate to support Offline MFA with PingID mobile authenticators is vulnerable to pre-computed dictionary attacks, leading to a bypass of offline MFA.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-40722",
"id": "GSD-2022-40722"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
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],
"details": "A misconfiguration of RSA padding implemented in the PingID Adapter for PingFederate to support Offline MFA with PingID mobile authenticators is vulnerable to pre-computed dictionary attacks, leading to a bypass of offline MFA.",
"id": "GSD-2022-40722",
"modified": "2023-12-13T01:19:30.989888Z",
"schema_version": "1.4.0"
}
},
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"ID": "CVE-2022-40722",
"STATE": "PUBLIC",
"TITLE": "Misconfiguration of RSA padding for offline MFA in the PingID Adapter for PingFederate."
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "PingID Adapter for PingFederate",
"version": {
"version_data": [
{
"version_affected": "\u003c",
"version_name": "2.13.2",
"version_value": "2.13.2"
}
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},
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}
]
},
"vendor_name": "Ping Identity"
}
]
}
},
"credit": [
{
"lang": "eng",
"value": "Ping Identity credits The Commonwealth Bank of Australia for the discovery of this vulnerability."
}
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}
]
},
"impact": {
"cvss": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.7,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "HIGH",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:H/UI:N/S:C/C:H/I:H/A:N",
"version": "3.1"
}
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "CWE-780 Use of RSA Algorithm without OAEP"
}
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"references": {
"reference_data": [
{
"name": "https://docs.pingidentity.com/r/en-us/pingid/pingid_integration_kit_2_20_rn",
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"url": "https://docs.pingidentity.com/r/en-us/pingid/pingid_integration_kit_2_20_rn"
},
{
"name": "https://docs.pingidentity.com/r/en-us/pingid/pingid_adapter_configuring_offline_mfa",
"refsource": "MISC",
"url": "https://docs.pingidentity.com/r/en-us/pingid/pingid_adapter_configuring_offline_mfa"
}
]
},
"source": {
"advisory": "SECADV035",
"defect": [
"PIM-2677"
],
"discovery": "INTERNAL"
}
},
"nvd.nist.gov": {
"configurations": {
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"nodes": [
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"versionStartIncluding": "11.1.0",
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{
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{
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"cve": {
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"ID": "CVE-2022-40722"
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"description": {
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{
"lang": "en",
"value": "A misconfiguration of RSA padding implemented in the PingID Adapter for PingFederate to support Offline MFA with PingID mobile authenticators is vulnerable to pre-computed dictionary attacks, leading to a bypass of offline MFA."
}
]
},
"problemtype": {
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"tags": [
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"url": "https://docs.pingidentity.com/r/en-us/pingid/pingid_integration_kit_2_20_rn"
},
{
"name": "https://docs.pingidentity.com/r/en-us/pingid/pingid_adapter_configuring_offline_mfa",
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"tags": [
"Product"
],
"url": "https://docs.pingidentity.com/r/en-us/pingid/pingid_adapter_configuring_offline_mfa"
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}
},
"impact": {
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.8,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "HIGH",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:H/UI:N/S:C/C:N/I:H/A:N",
"version": "3.1"
},
"exploitabilityScore": 1.3,
"impactScore": 4.0
}
},
"lastModifiedDate": "2023-05-04T19:46Z",
"publishedDate": "2023-04-25T19:15Z"
}
}
}
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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
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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.
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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