RUSTSEC-2023-0034 (CVE-2023-26964)
Vulnerability from osv_rustsec – Published: 2023-04-14 12:00 – Updated: 2023-04-20 19:17 – Source website
VLAI
Summary
Resource exhaustion vulnerability in h2 may lead to Denial of Service (DoS)
Details
If an attacker is able to flood the network with pairs of HEADERS/RST_STREAM frames, such that the h2 application is not able to accept them faster than the bytes are received, the pending accept queue can grow in memory usage. Being able to do this consistently can result in excessive memory use, and eventually trigger Out Of Memory.
This flaw is corrected in hyperium/h2#668, which restricts remote reset stream count by default.
References
| URL | Type | |
|---|---|---|
{
"affected": [
{
"database_specific": {
"categories": [
"denial-of-service"
],
"cvss": null,
"informational": null
},
"ecosystem_specific": {
"affected_functions": null,
"affects": {
"arch": [],
"functions": [],
"os": []
}
},
"package": {
"ecosystem": "crates.io",
"name": "h2",
"purl": "pkg:cargo/h2"
},
"ranges": [
{
"events": [
{
"introduced": "0.0.0-0"
},
{
"fixed": "0.3.17"
}
],
"type": "SEMVER"
}
],
"versions": []
}
],
"aliases": [
"CVE-2023-26964",
"GHSA-f8vr-r385-rh5r"
],
"database_specific": {
"license": "CC0-1.0"
},
"details": "If an attacker is able to flood the network with pairs of `HEADERS`/`RST_STREAM` frames, such that the `h2` application is not able to accept them faster than the bytes are received, the pending accept queue can grow in memory usage. Being able to do this consistently can result in excessive memory use, and eventually trigger Out Of Memory.\n\nThis flaw is corrected in [hyperium/h2#668](https://github.com/hyperium/h2/pull/668), which restricts remote reset stream count by default.",
"id": "RUSTSEC-2023-0034",
"modified": "2023-04-20T19:17:55Z",
"published": "2023-04-14T12:00:00Z",
"references": [
{
"type": "PACKAGE",
"url": "https://crates.io/crates/h2"
},
{
"type": "ADVISORY",
"url": "https://rustsec.org/advisories/RUSTSEC-2023-0034.html"
},
{
"type": "REPORT",
"url": "https://github.com/hyperium/hyper/issues/2877"
}
],
"related": [],
"severity": [],
"summary": "Resource exhaustion vulnerability in h2 may lead to Denial of Service (DoS)"
}
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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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