CVE-2026-61625 (GCVE-0-2026-61625)
Vulnerability from cvelistv5 – Published: 2026-08-20 16:45 – Updated: 2026-08-20 18:27
VLAI
EPSS
VEX
Title
VictoriaMetrics vmrestore: path traversal via crafted backup part names escapes restore root
Summary
VictoriaMetrics is a scalable solution for monitoring and managing time series data. Prior to 1.122.25, 1.136.12, and 1.146.0, vmrestore does not validate backup part path components before using lib/backup/actions/restore.go and lib/backup/fslocal/fslocal.go to write restored data below storageDataPath. An attacker who can supply or modify an S3, GCS, Azure Blob Storage, or other backup source can place .. components in object names. When an operator restores that source, the crafted names can create or overwrite files outside the intended restore root within the filesystem permissions of the vmrestore process. This issue is fixed in versions 1.122.25, 1.136.12, and 1.146.0.
Severity
6.8 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-20 18:27 UTC
CWE
- CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://github.com/VictoriaMetrics/VictoriaMetric… | x_refsource_CONFIRM |
| https://github.com/VictoriaMetrics/VictoriaMetric… | x_refsource_MISC |
| https://github.com/VictoriaMetrics/VictoriaMetric… | x_refsource_MISC |
| https://github.com/VictoriaMetrics/VictoriaMetric… | x_refsource_MISC |
| https://github.com/VictoriaMetrics/VictoriaMetric… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| VictoriaMetrics | VictoriaMetrics |
Affected:
>= 1.137.0, < 1.146.0
Affected: >= 1.123.0, < 1.136.12 Affected: < 1.122.25 |
guessed |
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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.
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.
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