RHSA-2026:74643
Vulnerability from csaf_redhat - Published: 2026-10-01 20:18 - Updated: 2026-10-02 17:36Summary
Red Hat Security Advisory: General availability of the satellite/iop-advisor-backend-rhel9 container image
Severity
Important
Notes
Topic: A new satellite/iop-advisor-backend-rhel9 container image is now generally available in the Red Hat container registry.
Details: Red Hat Lightspeed in Satellite analyzes system health and configuration by applying predefined rules to a small set of local data, such as installed packages, running services, and configuration settings. When you install Red Hat Lightspeed in Satellite locally, you can generate Red Hat Lightspeed recommendations without sending system data to Red Hat services.
Terms of Use: This content is licensed under the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/). If you distribute this content, or a modified version of it, you must provide attribution to Red Hat Inc. and provide a link to the original.
A flaw was found in sqlparse, a Python module for parsing SQL. A remote attacker could exploit a vulnerability in the TokenList construction and string conversion processes, specifically when handling nested token subtrees. This flaw leads to quadratic CPU consumption, which can result in a Denial of Service (DoS) by exhausting system resources before internal limits are reached.
7.5 (High)
Affected products
Fixed
1 product
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat Satellite 6.18:registry.redhat.io/satellite/iop-advisor-backend-rhel9@sha256:a07ddcc5032c21c631ab5178539f7ac3e5d5ec8bf36b78c7197e1534b8c91fb0_amd64 | — |
Vendor Fix
fix
|
Threats
Impact
Important
A flaw was found in sqlparse, a Python module for parsing SQL. A remote attacker could exploit this vulnerability by providing specially crafted SQL input. This flaw causes inefficient processing of certain SQL patterns, leading to excessive CPU consumption and potentially a Denial of Service (DoS) condition, making the application unresponsive.
7.5 (High)
Affected products
Fixed
1 product, the same list as for
CVE-2026-54284
Threats
Impact
Important
A flaw was found in sqlparse, a Python module for parsing SQL. A remote attacker could exploit this vulnerability by providing specially crafted SQL input that contains numerous comment-only statements. This could cause the `group_comments` function to repeatedly rescan these statements, leading to excessive CPU consumption and a Denial of Service (DoS) for the application using the parser.
7.5 (High)
Affected products
Fixed
1 product, the same list as for
CVE-2026-54284
Threats
Impact
Important
References
28 references
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}
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}
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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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