CVE-2024-22189 (GCVE-0-2024-22189)
Vulnerability from cvelistv5 – Published: 2024-04-04 14:25 – Updated: 2024-08-23 19:29
VLAI
EPSS
VEX
Title
QUIC's Connection ID Mechanism vulnerable to Memory Exhaustion Attack
Summary
quic-go is an implementation of the QUIC protocol in Go. Prior to version 0.42.0, an attacker can cause its peer to run out of memory sending a large number of `NEW_CONNECTION_ID` frames that retire old connection IDs. The receiver is supposed to respond to each retirement frame with a `RETIRE_CONNECTION_ID` frame. The attacker can prevent the receiver from sending out (the vast majority of) these `RETIRE_CONNECTION_ID` frames by collapsing the peers congestion window (by selectively acknowledging received packets) and by manipulating the peer's RTT estimate. Version 0.42.0 contains a patch for the issue. No known workarounds are available.
Severity
7.5 (High)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-04-09 14:56 UTC
CWE
- CWE-770 - Allocation of Resources Without Limits or Throttling
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/quic-go/quic-go/security/advis… | x_refsource_CONFIRM |
| https://github.com/quic-go/quic-go/commit/4a99b81… | x_refsource_MISC |
| https://seemann.io/posts/2024-03-19-exploiting-qu… | x_refsource_MISC |
| https://www.youtube.com/watch?v=JqXtYcZAtIA&t=3683s | x_refsource_MISC |
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| quic-go | quic-go |
Affected:
< 0.42.0
|
guessed | |
| quic-go_project | quic-go |
Affected:
0 , < 0.42.0
(custom)
cpe:2.3:a:quic-go_project:quic-go:*:*:*:*:*:*:*:* |
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"value": "quic-go is an implementation of the QUIC protocol in Go. Prior to version 0.42.0, an attacker can cause its peer to run out of memory sending a large number of `NEW_CONNECTION_ID` frames that retire old connection IDs. The receiver is supposed to respond to each retirement frame with a `RETIRE_CONNECTION_ID` frame. The attacker can prevent the receiver from sending out (the vast majority of) these `RETIRE_CONNECTION_ID` frames by collapsing the peers congestion window (by selectively acknowledging received packets) and by manipulating the peer\u0027s RTT estimate. Version 0.42.0 contains a patch for the issue. No known workarounds are available."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-770",
"description": "CWE-770: Allocation of Resources Without Limits or Throttling",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2024-04-04T14:25:43.663Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/quic-go/quic-go/security/advisories/GHSA-c33x-xqrf-c478",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/quic-go/quic-go/security/advisories/GHSA-c33x-xqrf-c478"
},
{
"name": "https://github.com/quic-go/quic-go/commit/4a99b816ae3ab03ae5449d15aac45147c85ed47a",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/quic-go/quic-go/commit/4a99b816ae3ab03ae5449d15aac45147c85ed47a"
},
{
"name": "https://seemann.io/posts/2024-03-19-exploiting-quics-connection-id-management",
"tags": [
"x_refsource_MISC"
],
"url": "https://seemann.io/posts/2024-03-19-exploiting-quics-connection-id-management"
},
{
"name": "https://www.youtube.com/watch?v=JqXtYcZAtIA\u0026t=3683s",
"tags": [
"x_refsource_MISC"
],
"url": "https://www.youtube.com/watch?v=JqXtYcZAtIA\u0026t=3683s"
}
],
"source": {
"advisory": "GHSA-c33x-xqrf-c478",
"discovery": "UNKNOWN"
},
"title": "QUIC\u0027s Connection ID Mechanism vulnerable to Memory Exhaustion Attack"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2024-22189",
"datePublished": "2024-04-04T14:25:43.663Z",
"dateReserved": "2024-01-08T04:59:27.370Z",
"dateUpdated": "2024-08-23T19:29:41.592Z",
"state": "PUBLISHED"
},
"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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