CVE-2026-53451 (GCVE-0-2026-53451)
Vulnerability from cvelistv5 – Published: 2026-08-19 14:45 – Updated: 2026-08-21 19:32
VLAI
EPSS
VEX
Title
Ground Station: Unauthenticated arbitrary file write (path traversal) in save-waterfall-snapshot leads to remote code execution
Summary
Ground Station is a browser-based suite for satellite tracking, SDR reception, hardware control, and telemetry decoding. Prior to version 0.4.13, the unauthenticated save-waterfall-snapshot Socket.IO command passes attacker-controlled snapshotName input from backend/handlers/entities/sdr.py to backend/server/snapshots.py, where os.path.join permits an absolute path or parent-directory traversal and writes attacker-controlled base64-decoded bytes outside backend/data/snapshots. An attacker can write a logging YAML file containing a logging.config.dictConfig callable factory, use the unauthenticated update-app-config operation to set log_config to that file, and invoke restart_service. During restart, backend/common/logger.py passes the YAML through resolve_log_config_path(), yaml.safe_load(), and logging.config.dictConfig(), which executes the factory with service privileges and can also cause a persistent crash loop. This issue is fixed in version 0.4.13.
Severity
9.8 (Critical)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-21 19:32 UTC
CWE
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/sgoudelis/ground-station/secur… | x_refsource_CONFIRM |
| https://github.com/sgoudelis/ground-station/commi… | x_refsource_MISC |
| https://github.com/sgoudelis/ground-station/relea… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| sgoudelis | ground-station |
Affected:
< 0.4.13
|
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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