CVE-2024-36991 (GCVE-0-2024-36991)
Vulnerability from cvelistv5 – Published: 2024-07-01 16:31 – Updated: 2025-02-28 11:03Title
Path Traversal on the “/modules/messaging/“ endpoint in Splunk Enterprise on Windows
Summary
In Splunk Enterprise on Windows versions below 9.2.2, 9.1.5, and 9.0.10, an attacker could perform a path traversal on the /modules/messaging/ endpoint in Splunk Enterprise on Windows. This vulnerability should only affect Splunk Enterprise on Windows.
Severity
7.5 (High)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-07-01 20:11 UTC
CWE
- CWE-35 - The software uses external input to construct a pathname that should be within a restricted directory, but it does not properly neutralize '.../...//' (doubled triple dot slash) sequences that can resolve to a location that is outside of that directory.
Assigner
References
Impacted products
4 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Splunk | Splunk Enterprise |
Affected:
9.2 , < 9.2.2
(custom)
Affected: 9.1 , < 9.1.5 (custom) Affected: 9.0 , < 9.0.10 (custom) |
guessed | |
| splunk | splunk |
Affected:
9.0.0 , < 9.0.10
(custom)
cpe:2.3:a:splunk:splunk:9.0.0:*:*:*:enterprise:*:*:* |
||
| splunk | splunk |
Affected:
9.1.0 , < 9.1.5
(custom)
cpe:2.3:a:splunk:splunk:9.1.0:*:*:*:enterprise:*:*:* |
||
| splunk | splunk |
Affected:
9.2 , < 9.2.2
(custom)
cpe:2.3:a:splunk:splunk:9.2:*:*:*:*:*:*:* |
Date Public
2024-07-01 00:00
Shadowserver
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 341e3a45-eed5-4124-be91-366680770732
Exploited: Yes
Characteristics
Severity:
75.0
Timestamps
First Seen: 2024-11-03
Asserted: 2024-11-03
Last Seen: 2026-06-30
Scope
Asset Exposure: ['internet-facing']
Notes: Affected: Splunk / Splunk Enterprise on Windows | Class: database | Severity: High (CVSS 7.5) | IoT: no | In CISA KEV: no | Honeypot connections on 2026-06-30: 6
Evidence
Type: Honeypot
Signal: In The Wild Attempts
Confidence: 70%
Source: shadowserver
Details
| 1D | 1 |
|---|---|
| Iot | no |
| Feed | Shadowserver Foundation honeypot/exploited-vulnerabilities |
| Type | http-scan |
| Class | database |
| 7D Avg | 0 |
| Vendor | Splunk |
| 30D Avg | 0 |
| 90D Avg | 0 |
| Product | Splunk Enterprise on Windows |
| Cisa Kev | no |
| Connections | 6 |
| Observation Date | 2026-06-30 |
| Vulnerability Class | CVSS |
| Vulnerability Score | 7.5 |
| Vulnerability Severity | High |
References
Created: 2026-07-01 05:54 UTC
| Updated: 2026-07-02 01:01 UTC
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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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