CVE-2021-32765 (GCVE-0-2021-32765)
Vulnerability from cvelistv5 – Published: 2021-10-04 00:00 – Updated: 2024-08-03 23:33
VLAI
EPSS
VEX
Title
Integer Overflow to Buffer Overflow in Hiredis
Summary
Hiredis is a minimalistic C client library for the Redis database. In affected versions Hiredis is vulnurable to integer overflow if provided maliciously crafted or corrupted `RESP` `mult-bulk` protocol data. When parsing `multi-bulk` (array-like) replies, hiredis fails to check if `count * sizeof(redisReply*)` can be represented in `SIZE_MAX`. If it can not, and the `calloc()` call doesn't itself make this check, it would result in a short allocation and subsequent buffer overflow. Users of hiredis who are unable to update may set the [maxelements](https://github.com/redis/hiredis#reader-max-array-elements) context option to a value small enough that no overflow is possible.
Severity
8.8 (High)
Assigner
References
6 references
Impacted products
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"type": "Primary"
}
]
}
},
"redhat_vex": {
"aggregate_severity": "Important",
"current_release_date": "2026-07-03T02:07:44+00:00",
"cve": "CVE-2021-32765",
"id": "CVE-2021-32765",
"initial_release_date": "2021-10-04T00:00:00+00:00",
"product_status:known_not_affected": "2",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "hiredis: an integer overflow may occur if provided maliciously crafted or corrupted RESP mult-bulk protocol data",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2021/cve-2021-32765.json",
"version": "3"
},
"suse_vex": {
"aggregate_severity": "important",
"current_release_date": "2025-03-15T08:53:23Z",
"cve": "CVE-2021-32765",
"id": "CVE-2021-32765",
"initial_release_date": "2023-02-15T03:40:50Z",
"product_status:recommended": "15",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2021-32765",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2021-32765.json",
"version": "6"
}
}
}
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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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