FKIE_CVE-2026-41707
Vulnerability from fkie_nvd - Published: 2026-08-25 23:16 - Updated: 2026-09-24 14:27
Severity
Summary
Authentication Bypass by Capture-replay vulnerability in Spring Spring Security allows Spring Security's DPoPProofJwtDecoderFactory contains a cache-based replay attack vulnerability. The internal cache storing JWT ID claims has a strict size limit, allowing attackers to evict legitimate entries by flooding the server with dummy requests, then replay intercepted valid DPoP proofs.
This issue affects Spring Security: 7.1.0, from 7.0.0 through 7.0.6, and from 6.5.0 through 6.5.11.
References
| URL | Tags | ||
|---|---|---|---|
| security@vmware.com | https://spring.io/security/cve-2026-41707 | Vendor Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| vmware | spring_security | * | |
| vmware | spring_security | * | |
| vmware | spring_security | * |
{
"affected": [
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"product": "Spring Security",
"vendor": "Spring",
"versions": [
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"versionType": "custom"
},
{
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"version": "7.0.0",
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},
{
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"status": "affected",
"version": "6.5.0",
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}
]
}
],
"source": "security@vmware.com"
}
],
"configurations": [
{
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},
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],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Authentication Bypass by Capture-replay vulnerability in Spring Spring Security allows Spring Security\u0027s DPoPProofJwtDecoderFactory contains a cache-based replay attack vulnerability. The internal cache storing JWT ID claims has a strict size limit, allowing attackers to evict legitimate entries by flooding the server with dummy requests, then replay intercepted valid DPoP proofs.\n\nThis issue affects Spring Security: 7.1.0, from 7.0.0 through 7.0.6, and from 6.5.0 through 6.5.11."
}
],
"id": "CVE-2026-41707",
"lastModified": "2026-09-24T14:27:30.947",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.4,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N",
"version": "3.1"
},
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"impactScore": 5.2,
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"ssvcV203": [
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"role": "CISA Coordinator",
"timestamp": "2026-08-26T00:00:00+00:00",
"version": "2.0.3"
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},
"published": "2026-08-25T23:16:59.933",
"references": [
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"tags": [
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],
"url": "https://spring.io/security/cve-2026-41707"
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"sourceIdentifier": "security@vmware.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-294"
}
],
"source": "security@vmware.com",
"type": "Secondary"
}
]
}
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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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