CVE-2024-25115 (GCVE-0-2024-25115)
Vulnerability from cvelistv5 – Published: 2024-04-09 17:31 – Updated: 2024-08-01 23:36
VLAI
EPSS
VEX
Title
RedisBloom heap buffer overflow in CF.LOADCHUNK command
Summary
RedisBloom adds a set of probabilistic data structures to Redis. Starting in version 2.0.0 and prior to version 2.4.7 and 2.6.10, specially crafted `CF.LOADCHUNK` commands may be used by authenticated users to perform heap overflow, which may lead to remote code execution. The problem is fixed in RedisBloom 2.4.7 and 2.6.10.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-07-19 17:17 UTC
CWE
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/RedisBloom/RedisBloom/security… | x_refsource_CONFIRM |
| https://github.com/RedisBloom/RedisBloom/commit/2… | x_refsource_MISC |
Impacted products
3 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| RedisBloom | RedisBloom |
Affected:
>= 2.0.0, < 2.4.7
Affected: >= 2.5.0, < 2.6.10 |
guessed | |
| redis | redisbloom |
Affected:
2.0.0 , < 2.4.7
(custom)
cpe:2.3:a:redis:redisbloom:2.0.0:*:*:*:*:*:*:* |
||
| redis | redisbloom |
Affected:
2.5.0 , < 2.6.10
(custom)
cpe:2.3:a:redis:redisbloom:2.5.0:*:*:*:*:*:*:* |
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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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