RHSA-2026:54481
Vulnerability from csaf_redhat - Published: 2026-08-13 07:52 - Updated: 2026-08-25 09:43Summary
Red Hat Security Advisory: python-idna security update
Severity
Moderate
Notes
Topic: An update for python-idna is now available for Red Hat Enterprise Linux 10.
Red Hat Product Security has rated this update as having a security impact of Moderate. A Common Vulnerability Scoring System (CVSS) base score, which gives a detailed severity rating, is available for each vulnerability from the CVE link(s) in the References section.
Details: Python is an interpreted, interactive, object-oriented programming language, which includes modules, classes, exceptions, very high level dynamic data types and dynamic typing. Python supports interfaces to many system calls and libraries, as well as to various windowing systems.
Security Fix(es):
* python-idna: idna: Denial of Service via specially crafted long inputs (CVE-2026-45409)
For more details about the security issue(s), including the impact, a CVSS score, acknowledgments, and other related information, refer to the CVE page(s) listed in the References section.
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 the idna library, which handles Internationalized Domain Names in Python applications. A remote attacker could exploit this vulnerability by sending specially crafted, excessively long inputs to the library's encoding function. This could cause the system to consume significant resources, leading to a Denial of Service (DoS), where the affected application becomes unavailable to legitimate users. This issue stems from an incomplete fix for a previously identified vulnerability.
5.3 (Medium)
Affected products
Threats
Impact
Moderate
References
9 references
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"text": "A flaw was found in the idna library, which handles Internationalized Domain Names in Python applications. A remote attacker could exploit this vulnerability by sending specially crafted, excessively long inputs to the library\u0027s encoding function. This could cause the system to consume significant resources, leading to a Denial of Service (DoS), where the affected application becomes unavailable to legitimate users. This issue stems from an incomplete fix for a previously identified vulnerability.",
"title": "Vulnerability description"
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"text": "python-idna: idna: Denial of Service via specially crafted long inputs",
"title": "Vulnerability summary"
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"text": "A flaw was found in the python-idna library. This is an incomplete fix for CVE-2024-3651. The idna.encode() function performs contextual validation checks (valid_contexto) before rejecting oversized inputs, allowing specially crafted long payloads to cause excessive CPU consumption and lead to a denial of service. The fix in version 3.14 rejects long inputs early before further processing, and version 3.15 extends this approach to alternate per-label conversion and codec functions.",
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"details": "For details on how to apply this update, which includes the changes described in this advisory, refer to:\n\nhttps://access.redhat.com/articles/11258",
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"details": "To mitigate this denial-of-service vulnerability, applications utilizing the `idna` Python library should implement input validation to ensure that domain names do not exceed the standard 253-character length limit before being passed to the `idna.encode()` function. This operational control prevents the processing of excessively long inputs that could lead to resource exhaustion and service unavailability.\n\nApplications that pass user-controlled data directly to `idna.encode()` without validation checks (e.g.: DNS length \u003c 254 chars) are affected.",
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"scope": "UNCHANGED",
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"title": "python-idna: idna: Denial of Service via specially crafted long inputs"
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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.
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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