FKIE_CVE-2022-40023
Vulnerability from fkie_nvd - Published: 2022-09-07 13:15 - Updated: 2026-06-17 05:00
Severity
Summary
Sqlalchemy mako before 1.2.2 is vulnerable to Regular expression Denial of Service when using the Lexer class to parse. This also affects babelplugin and linguaplugin.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| sqlalchemy | mako | * | |
| debian | debian_linux | 10.0 |
{
"affected": [
{
"affectedData": [
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"product": "n/a",
"vendor": "n/a",
"versions": [
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"status": "affected",
"version": "n/a"
}
]
}
],
"source": "cve@mitre.org"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
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"criteria": "cpe:2.3:a:sqlalchemy:mako:*:*:*:*:*:*:*:*",
"matchCriteriaId": "A85380F0-0A58-4E13-B3E3-3DC01E7ABF3F",
"versionEndExcluding": "1.2.2",
"vulnerable": true
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"negate": false,
"operator": "OR"
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"vulnerable": true
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Sqlalchemy mako before 1.2.2 is vulnerable to Regular expression Denial of Service when using the Lexer class to parse. This also affects babelplugin and linguaplugin."
},
{
"lang": "es",
"value": "Sqlalchemy mako versiones anteriores a 1.2.2, es vulnerable a una Denegaci\u00f3n de Servicio de expresiones Regulares cuando es usada la clase Lexer para analizar. Esto tambi\u00e9n afecta a babelplugin y linguaplugin"
}
],
"id": "CVE-2022-40023",
"lastModified": "2026-06-17T05:00:47.023",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6,
"source": "nvd@nist.gov",
"type": "Primary"
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"published": "2022-09-07T13:15:09.953",
"references": [
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"source": "cve@mitre.org",
"tags": [
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"url": "https://github.com/sqlalchemy/mako/blob/c2f392e0be52dc67d1b9770ab8cce6a9c736d547/mako/ext/extract.py#L21"
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{
"source": "cve@mitre.org",
"tags": [
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"url": "https://github.com/sqlalchemy/mako/issues/366"
},
{
"source": "cve@mitre.org",
"tags": [
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"url": "https://lists.debian.org/debian-lts-announce/2022/09/msg00026.html"
},
{
"source": "cve@mitre.org",
"tags": [
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"url": "https://pyup.io/posts/pyup-discovers-redos-vulnerabilities-in-top-python-packages/"
},
{
"source": "cve@mitre.org",
"tags": [
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"url": "https://pyup.io/vulnerabilities/CVE-2022-40023/50870/"
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"url": "https://lists.debian.org/debian-lts-announce/2022/09/msg00026.html"
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"tags": [
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"url": "https://pyup.io/posts/pyup-discovers-redos-vulnerabilities-in-top-python-packages/"
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"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
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"url": "https://pyup.io/vulnerabilities/CVE-2022-40023/50870/"
}
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"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
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"description": [
{
"lang": "en",
"value": "CWE-1333"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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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
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- Confirmed: The vulnerability has been validated from an analyst's perspective.
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- 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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