CVE-2026-53572 (GCVE-0-2026-53572)
Vulnerability from cvelistv5 – Published: 2026-08-21 20:11 – Updated: 2026-08-25 17:13
VLAI
EPSS
VEX
Title
KEDA: PostgreSQL connection string parameter injection via incomplete whitespace escaping
Summary
KEDA is a Kubernetes-based Event Driven Autoscaling component. Prior to 2.20.0, pkg/scalers/postgresql_scaler.go constructs libpq-style connection strings from tenant-controlled host, port, userName, dbName, sslmode, and password values, while escapePostgreConnectionParameter() only quotes values containing a literal space. Tabs, newlines, carriage returns, form feeds, vertical tabs, quotes, and backslashes can therefore create additional key-value tokens when pgx parses the string. An attacker able to create or modify a TriggerAuthentication or ScaledObject can inject host or sslmode parameters, redirect the database connection to an attacker-controlled server, expose credentials, or disable intended TLS protection. This issue is fixed in version 2.20.0.
Severity
5.9 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-25 17:13 UTC
CWE
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://github.com/kedacore/keda/security/advisor… | x_refsource_CONFIRM |
| https://github.com/kedacore/keda/issues/7784 | x_refsource_MISC |
| https://github.com/kedacore/keda/pull/7787 | x_refsource_MISC |
| https://github.com/kedacore/keda/commit/703de9dec… | x_refsource_MISC |
| https://github.com/kedacore/keda/releases/tag/v2.20.0 | x_refsource_MISC |
Impacted products
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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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