CVE-2023-25000 (GCVE-0-2023-25000)
Vulnerability from cvelistv5 – Published: 2023-03-30 00:17 – Updated: 2025-02-13 16:44
VLAI
EPSS
VEX
Title
Vault Vulnerable to Cache-Timing Attacks During Seal and Unseal Operations
Summary
HashiCorp Vault's implementation of Shamir's secret sharing used precomputed table lookups, and was vulnerable to cache-timing attacks. An attacker with access to, and the ability to observe a large number of unseal operations on the host through a side channel may reduce the search space of a brute force effort to recover the Shamir shares. Fixed in Vault 1.13.1, 1.12.5, and 1.11.9.
Severity
5 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-02-12 15:02 UTC
CWE
- CWE-208 - Observable Timing Discrepancy
Assigner
References
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| HashiCorp | Vault |
Affected:
1.13.0 , < 1.13.1
(semver)
Affected: 1.12.0 , < 1.12.5 (semver) Affected: 1.11.0 , < 1.11.9 (semver) Affected: 0 , < 1.11.0 (semver) |
guessed | |
| HashiCorp | Vault Enterprise |
Affected:
1.13.0 , < 1.13.1
(semver)
Affected: 1.12.0 , < 1.12.5 (semver) Affected: 1.11.0 , < 1.11.9 (semver) Affected: 0 , < 1.11.0 (semver) |
guessed |
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"containers": "{\"adp\": [{\"title\": \"CVE Program Container\", \"references\": [{\"url\": \"https://discuss.hashicorp.com/t/hcsec-2023-10-vault-vulnerable-to-cache-timing-attacks-during-seal-and-unseal-operations/52078\", \"tags\": [\"x_transferred\"]}, {\"url\": \"https://security.netapp.com/advisory/ntap-20230526-0008/\", \"tags\": [\"x_transferred\"]}], \"providerMetadata\": {\"orgId\": \"af854a3a-2127-422b-91ae-364da2661108\", \"shortName\": \"CVE\", \"dateUpdated\": \"2024-08-02T11:11:43.500Z\"}}, {\"title\": \"CISA ADP Vulnrichment\", \"metrics\": [{\"other\": {\"type\": \"ssvc\", \"content\": {\"id\": \"CVE-2023-25000\", \"role\": \"CISA Coordinator\", \"options\": [{\"Exploitation\": \"none\"}, {\"Automatable\": \"no\"}, {\"Technical Impact\": \"partial\"}], \"version\": \"2.0.3\", \"timestamp\": \"2025-02-12T15:02:13.804694Z\"}}}], \"providerMetadata\": {\"orgId\": \"134c704f-9b21-4f2e-91b3-4a467353bcc0\", \"shortName\": \"CISA-ADP\", \"dateUpdated\": \"2025-02-12T15:02:03.468Z\"}}], \"cna\": {\"title\": \"Vault Vulnerable to Cache-Timing Attacks During Seal and Unseal Operations\", \"source\": {\"advisory\": \"HCSEC-2023-10\", \"discovery\": \"EXTERNAL\"}, \"credits\": [{\"lang\": \"en\", \"type\": \"finder\", \"user\": \"00000000-0000-4000-9000-000000000000\", \"value\": \"Giuseppe Cocomazzi\"}], \"impacts\": [{\"capecId\": \"CAPEC-204\", \"descriptions\": [{\"lang\": \"en\", \"value\": \"CAPEC-204 Lifting Sensitive Data Embedded in Cache\"}]}], \"metrics\": [{\"format\": \"CVSS\", \"cvssV3_1\": {\"scope\": \"CHANGED\", \"version\": \"3.1\", \"baseScore\": 5, \"attackVector\": \"LOCAL\", \"baseSeverity\": \"MEDIUM\", \"vectorString\": \"CVSS:3.1/AV:L/AC:H/PR:H/UI:R/S:C/C:H/I:N/A:N\", \"integrityImpact\": \"NONE\", \"userInteraction\": \"REQUIRED\", \"attackComplexity\": \"HIGH\", \"availabilityImpact\": \"NONE\", \"privilegesRequired\": \"HIGH\", \"confidentialityImpact\": \"HIGH\"}, \"scenarios\": [{\"lang\": \"en\", \"value\": \"GENERAL\"}]}], \"affected\": [{\"repo\": \"https://github.com/hashicorp/vault\", \"vendor\": \"HashiCorp\", \"product\": \"Vault\", \"versions\": [{\"status\": \"affected\", \"version\": \"1.13.0\", \"lessThan\": \"1.13.1\", \"versionType\": \"semver\"}, {\"status\": \"affected\", \"version\": \"1.12.0\", \"lessThan\": \"1.12.5\", \"versionType\": \"semver\"}, {\"status\": \"affected\", \"version\": \"1.11.0\", \"lessThan\": \"1.11.9\", \"versionType\": \"semver\"}, {\"status\": \"affected\", \"version\": \"0\", \"lessThan\": \"1.11.0\", \"versionType\": \"semver\"}], \"platforms\": [\"Windows\", \"MacOS\", \"Linux\", \"x86\", \"ARM\", \"64 bit\", \"32 bit\"], \"defaultStatus\": \"unaffected\"}, {\"vendor\": \"HashiCorp\", \"product\": \"Vault Enterprise\", \"versions\": [{\"status\": \"affected\", \"version\": \"1.13.0\", \"lessThan\": \"1.13.1\", \"versionType\": \"semver\"}, {\"status\": \"affected\", \"version\": \"1.12.0\", \"lessThan\": \"1.12.5\", \"versionType\": \"semver\"}, {\"status\": \"affected\", \"version\": \"1.11.0\", \"lessThan\": \"1.11.9\", \"versionType\": \"semver\"}, {\"status\": \"affected\", \"version\": \"0\", \"lessThan\": \"1.11.0\", \"versionType\": \"semver\"}], \"platforms\": [\"Windows\", \"MacOS\", \"Linux\", \"x86\", \"ARM\", \"64 bit\", \"32 bit\"], \"defaultStatus\": \"unaffected\"}], \"references\": [{\"url\": \"https://discuss.hashicorp.com/t/hcsec-2023-10-vault-vulnerable-to-cache-timing-attacks-during-seal-and-unseal-operations/52078\"}, {\"url\": \"https://security.netapp.com/advisory/ntap-20230526-0008/\"}], \"descriptions\": [{\"lang\": \"en\", \"value\": \"HashiCorp Vault\u0027s implementation of Shamir\u0027s secret sharing used precomputed table lookups, and was vulnerable to cache-timing attacks. An attacker with access to, and the ability to observe a large number of unseal operations on the host through a side channel may reduce the search space of a brute force effort to recover the Shamir shares. Fixed in Vault 1.13.1, 1.12.5, and 1.11.9.\", \"supportingMedia\": [{\"type\": \"text/html\", \"value\": \"HashiCorp Vault\u0027s implementation of Shamir\u0027s secret sharing used precomputed table lookups, and was vulnerable to cache-timing attacks. An attacker with access to, and the ability to observe a large number of unseal operations on the host through a side channel may reduce the search space of a brute force effort to recover the Shamir shares. Fixed in Vault 1.13.1, 1.12.5, and 1.11.9.\", \"base64\": false}]}], \"problemTypes\": [{\"descriptions\": [{\"lang\": \"en\", \"type\": \"CWE\", \"cweId\": \"CWE-208\", \"description\": \"CWE-208 Observable Timing Discrepancy\"}]}], \"providerMetadata\": {\"orgId\": \"67fedba0-ff2e-4543-ba5b-aa93e87718cc\", \"shortName\": \"HashiCorp\", \"dateUpdated\": \"2023-03-30T00:24:51.132Z\"}}}",
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"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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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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