CVE-2023-40595 (GCVE-0-2023-40595)
Vulnerability from cvelistv5 – Published: 2023-08-30 16:19 – Updated: 2025-02-28 11:03
VLAI
EPSS
VEX
Title
Remote Code Execution via Serialized Session Payload
Summary
In Splunk Enterprise versions lower than 8.2.12, 9.0.6, and 9.1.1, an attacker can execute a specially crafted query that they can then use to serialize untrusted data. The attacker can use the query to execute arbitrary code.
Severity
8.8 (High)
CWE
- CWE-502 - The application deserializes untrusted data without sufficiently verifying that the resulting data will be valid.
Assigner
References
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Splunk | Splunk Enterprise |
Affected:
8.2 , < 8.2.12
(custom)
Affected: 9.0 , < 9.0.6 (custom) Affected: 9.1 , < 9.1.1 (custom) |
guessed | |
| Splunk | Splunk Cloud |
Affected:
- , < 9.0.2305.200
(custom)
|
guessed |
Date Public
2023-08-30 00:00
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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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