CVE-2026-102820 (GCVE-0-2026-102820)
Vulnerability from cvelistv5 – Published: 2026-09-29 18:18 – Updated: 2026-09-29 18:18
VLAI
EPSS
VEX
Title
pageant: Out-of-bounds read / oversized allocation in `pageant` MemoryMap::read via a malicious Pageant agent (Windows)
Summary
pageant provides a [PageantStream] type that implements [AsyncRead] and [AsyncWrite] traits and can be used to talk to a running Pageant instance. Prior to pageant 0.2.3, the Windows pageant crate's pageant/src/wmmessage.rs MemoryMap::read function trusts a peer-controlled u32 response length supplied through the 8192-byte Pageant shared-memory mapping reached by AgentClient::connect_pageant. A local process that impersonates the Pageant window can make query_pageant_direct allocate up to approximately 4 GiB and copy beyond the mapped view, reliably crashing a russh client and conditionally exposing adjacent committed memory. This issue is fixed in pageant 0.2.3.
Severity
6.2 (Medium)
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/Eugeny/russh/security/advisori… | x_refsource_CONFIRM |
| https://github.com/Eugeny/russh/commit/5d566989eb… | x_refsource_MISC |
| https://github.com/Eugeny/russh/releases/tag/v0.63.2 | x_refsource_MISC |
Impacted products
{
"containers": {
"cna": {
"affected": [
{
"product": "russh",
"vendor": "Eugeny",
"versions": [
{
"status": "affected",
"version": "\u003c 0.63.2"
}
]
},
{
"product": "pageant",
"vendor": "rust",
"versions": [
{
"status": "affected",
"version": "\u003c 0.2.3"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "pageant provides a [PageantStream] type that implements [AsyncRead] and [AsyncWrite] traits and can be used to talk to a running Pageant instance. Prior to pageant 0.2.3, the Windows pageant crate\u0027s pageant/src/wmmessage.rs MemoryMap::read function trusts a peer-controlled u32 response length supplied through the 8192-byte Pageant shared-memory mapping reached by AgentClient::connect_pageant. A local process that impersonates the Pageant window can make query_pageant_direct allocate up to approximately 4 GiB and copy beyond the mapped view, reliably crashing a russh client and conditionally exposing adjacent committed memory. This issue is fixed in pageant 0.2.3."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 6.2,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-125",
"description": "CWE-125: Out-of-bounds Read",
"lang": "en",
"type": "CWE"
}
]
},
{
"descriptions": [
{
"cweId": "CWE-789",
"description": "CWE-789: Memory Allocation with Excessive Size Value",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-09-29T18:18:43.297Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/Eugeny/russh/security/advisories/GHSA-g4mp-vgx3-xrvm",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/Eugeny/russh/security/advisories/GHSA-g4mp-vgx3-xrvm"
},
{
"name": "https://github.com/Eugeny/russh/commit/5d566989ebabfdebfe6b33243d31765a0812260b",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/Eugeny/russh/commit/5d566989ebabfdebfe6b33243d31765a0812260b"
},
{
"name": "https://github.com/Eugeny/russh/releases/tag/v0.63.2",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/Eugeny/russh/releases/tag/v0.63.2"
}
],
"source": {
"advisory": "GHSA-g4mp-vgx3-xrvm",
"discovery": "UNKNOWN"
},
"title": "pageant: Out-of-bounds read / oversized allocation in `pageant` MemoryMap::read via a malicious Pageant agent (Windows)"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-102820",
"datePublished": "2026-09-29T18:18:43.297Z",
"dateReserved": "2026-09-29T17:25:25.264Z",
"dateUpdated": "2026-09-29T18:18:43.297Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"nvd": {
"cve": {
"affected": [
{
"affectedData": [
{
"product": "russh",
"vendor": "Eugeny",
"versions": [
{
"status": "affected",
"version": "\u003c 0.63.2"
}
]
},
{
"product": "pageant",
"vendor": "rust",
"versions": [
{
"status": "affected",
"version": "\u003c 0.2.3"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "pageant provides a [PageantStream] type that implements [AsyncRead] and [AsyncWrite] traits and can be used to talk to a running Pageant instance. Prior to pageant 0.2.3, the Windows pageant crate\u0027s pageant/src/wmmessage.rs MemoryMap::read function trusts a peer-controlled u32 response length supplied through the 8192-byte Pageant shared-memory mapping reached by AgentClient::connect_pageant. A local process that impersonates the Pageant window can make query_pageant_direct allocate up to approximately 4 GiB and copy beyond the mapped view, reliably crashing a russh client and conditionally exposing adjacent committed memory. This issue is fixed in pageant 0.2.3."
}
],
"id": "CVE-2026-102820",
"lastModified": "2026-09-29T19:17:23.820",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 6.2,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.5,
"impactScore": 3.6,
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
},
"published": "2026-09-29T19:17:23.820",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/Eugeny/russh/commit/5d566989ebabfdebfe6b33243d31765a0812260b"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/Eugeny/russh/releases/tag/v0.63.2"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/Eugeny/russh/security/advisories/GHSA-g4mp-vgx3-xrvm"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Received",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-125"
},
{
"lang": "en",
"value": "CWE-789"
}
],
"source": "security-advisories@github.com",
"type": "Primary"
}
]
}
},
"redhat_vex": {
"aggregate_severity": "Moderate",
"current_release_date": "2026-09-29T19:27:27+00:00",
"cve": "CVE-2026-102820",
"id": "CVE-2026-102820",
"initial_release_date": "2026-09-29T18:18:43.297000+00:00",
"product_status:known_affected": "1",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "pageant: pageant: Denial of Service via untrusted response length in shared memory",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-102820.json",
"version": "3"
}
}
}
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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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