CVE-2026-67260 (GCVE-0-2026-67260)
Vulnerability from cvelistv5 – Published: 2026-08-12 15:33 – Updated: 2026-09-16 14:56
VLAI
EPSS
VEX
Title
Apache Airflow: DAG-author remote code execution on the Scheduler via awaiting_input next_kwargs deserialization
Summary
Apache Airflow 3.3.0 moved human-in-the-loop tasks from the triggerer to a new `awaiting_input` task state swept by the scheduler. That sweep deserializes the task instance's `next_kwargs` without an allow-list, so a Dag author — who controls that value through the task execution API — can cause an arbitrary module import and object instantiation inside the scheduler process, or terminate the scheduler job. No non-default configuration is required: the sweep runs unconditionally every 15 seconds, and the default `allowed_deserialization_classes` setting does not cover this code path. Versions before 3.3.0 are not affected, because human-in-the-loop tasks deferred onto the triggerer instead. This is a different code path from CVE-2026-58076, which covers the same unguarded exception-node deserialization reached elsewhere — deployments that applied that fix must upgrade for this issue as well. Users are advised to upgrade to apache-airflow 3.3.1 or later.
Severity
7.3 (High)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-12 16:00 UTC
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/apache/airflow/pull/70685 | patch |
| https://lists.apache.org/thread/vygr0fh82cjzjp5k4… | vendor-advisory |
| https://www.cve.org/CVERecord?id=CVE-2026-58076 | related |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Apache Software Foundation | Apache Airflow |
Affected:
3.3.0 , < 3.3.1
(semver)
|
guessed |
{
"containers": {
"adp": [
{
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 7.3,
"baseSeverity": "HIGH",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L",
"version": "3.1"
}
},
{
"other": {
"content": {
"id": "CVE-2026-67260",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "yes"
},
{
"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-08-12T16:00:14.166719Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2026-08-12T16:00:19.739Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"collectionURL": "https://pypi.python.org",
"defaultStatus": "unaffected",
"packageName": "apache-airflow",
"packageURL": "pkg:pypi/apache-airflow",
"product": "Apache Airflow",
"vendor": "Apache Software Foundation",
"versions": [
{
"lessThan": "3.3.1",
"status": "affected",
"version": "3.3.0",
"versionType": "semver"
}
]
}
],
"credits": [
{
"lang": "en",
"type": "finder",
"value": "Erik Villegas (GitHub: @erik-451)"
},
{
"lang": "en",
"type": "remediation developer",
"value": "Jarek Potiuk"
}
],
"descriptions": [
{
"lang": "en",
"supportingMedia": [
{
"base64": false,
"type": "text/html",
"value": "Apache Airflow 3.3.0 moved human-in-the-loop tasks from the triggerer to a new `awaiting_input` task state swept by the scheduler. That sweep deserializes the task instance\u0026#x27;s `next_kwargs` without an allow-list, so a Dag author \u2014 who controls that value through the task execution API \u2014 can cause an arbitrary module import and object instantiation inside the scheduler process, or terminate the scheduler job. No non-default configuration is required: the sweep runs unconditionally every 15 seconds, and the default `allowed_deserialization_classes` setting does not cover this code path. Versions before 3.3.0 are not affected, because human-in-the-loop tasks deferred onto the triggerer instead. This is a different code path from CVE-2026-58076, which covers the same unguarded exception-node deserialization reached elsewhere \u2014 deployments that applied that fix must upgrade for this issue as well. Users are advised to upgrade to apache-airflow 3.3.1 or later."
}
],
"value": "Apache Airflow 3.3.0 moved human-in-the-loop tasks from the triggerer to a new `awaiting_input` task state swept by the scheduler. That sweep deserializes the task instance\u0027s `next_kwargs` without an allow-list, so a Dag author \u2014 who controls that value through the task execution API \u2014 can cause an arbitrary module import and object instantiation inside the scheduler process, or terminate the scheduler job. No non-default configuration is required: the sweep runs unconditionally every 15 seconds, and the default `allowed_deserialization_classes` setting does not cover this code path. Versions before 3.3.0 are not affected, because human-in-the-loop tasks deferred onto the triggerer instead. This is a different code path from CVE-2026-58076, which covers the same unguarded exception-node deserialization reached elsewhere \u2014 deployments that applied that fix must upgrade for this issue as well. Users are advised to upgrade to apache-airflow 3.3.1 or later."
}
],
"metrics": [
{
"other": {
"content": {
"text": "important"
},
"type": "Textual description of severity"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-502",
"description": "CWE-502: Deserialization of Untrusted Data",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-09-16T14:56:08.113Z",
"orgId": "f0158376-9dc2-43b6-827c-5f631a4d8d09",
"shortName": "apache"
},
"references": [
{
"tags": [
"patch"
],
"url": "https://github.com/apache/airflow/pull/70685"
},
{
"tags": [
"vendor-advisory"
],
"url": "https://lists.apache.org/thread/vygr0fh82cjzjp5k4vtfmboxryvm3lyn"
},
{
"tags": [
"related"
],
"url": "https://www.cve.org/CVERecord?id=CVE-2026-58076"
}
],
"source": {
"discovery": "UNKNOWN"
},
"title": "Apache Airflow: DAG-author remote code execution on the Scheduler via awaiting_input next_kwargs deserialization",
"x_generator": {
"engine": "airflow-s/generate_cve_json.py"
}
}
},
"cveMetadata": {
"assignerOrgId": "f0158376-9dc2-43b6-827c-5f631a4d8d09",
"assignerShortName": "apache",
"cveId": "CVE-2026-67260",
"datePublished": "2026-08-12T15:33:02.858Z",
"dateReserved": "2026-07-29T10:04:08.525Z",
"dateUpdated": "2026-09-16T14:56:08.113Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"epss": {
"cve": "CVE-2026-67260",
"date": "2026-10-29",
"epss": "0.00779",
"percentile": "0.55802"
},
"nvd": {
"cve": {
"affected": [
{
"affectedData": [
{
"collectionURL": "https://pypi.python.org",
"defaultStatus": "unaffected",
"packageName": "apache-airflow",
"packageURL": "pkg:pypi/apache-airflow",
"product": "Apache Airflow",
"vendor": "Apache Software Foundation",
"versions": [
{
"lessThan": "3.3.1",
"status": "affected",
"version": "3.3.0",
"versionType": "semver"
}
]
}
],
"source": "security@apache.org"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:apache:airflow:*:*:*:*:*:*:*:*",
"matchCriteriaId": "F6D5F0B2-15A2-4782-8CC5-769E57D5F2F6",
"versionEndExcluding": "3.3.1",
"versionStartIncluding": "3.3.0",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Apache Airflow 3.3.0 moved human-in-the-loop tasks from the triggerer to a new `awaiting_input` task state swept by the scheduler. That sweep deserializes the task instance\u0027s `next_kwargs` without an allow-list, so a Dag author \u2014 who controls that value through the task execution API \u2014 can cause an arbitrary module import and object instantiation inside the scheduler process, or terminate the scheduler job. No non-default configuration is required: the sweep runs unconditionally every 15 seconds, and the default `allowed_deserialization_classes` setting does not cover this code path. Versions before 3.3.0 are not affected, because human-in-the-loop tasks deferred onto the triggerer instead. This is a different code path from CVE-2026-58076, which covers the same unguarded exception-node deserialization reached elsewhere \u2014 deployments that applied that fix must upgrade for this issue as well. Users are advised to upgrade to apache-airflow 3.3.1 or later."
},
{
"lang": "es",
"value": "Apache Airflow 3.3.0 movi\u00f3 las tareas con intervenci\u00f3n humana del disparador a un nuevo estado de tarea \u201cawaiting_input\u201d barrido por el planificador. Ese barrido deserializa los \u201cnext_kwargs\u201d de la instancia de tarea sin una lista de permitidos, por lo que un autor de Dag - quien controla ese valor a trav\u00e9s de la API de ejecuci\u00f3n de tareas - puede causar una importaci\u00f3n de m\u00f3dulo arbitraria y una instanciaci\u00f3n de objeto dentro del proceso del planificador, o terminar el trabajo del planificador. No se requiere ninguna configuraci\u00f3n no predeterminada: el barrido se ejecuta incondicionalmente cada 15 segundos, y la configuraci\u00f3n predeterminada de \u201callowed_deserialization_classes\u201d no cubre esta ruta de c\u00f3digo. Las versiones anteriores a la 3.3.0 no est\u00e1n afectadas, porque las tareas con intervenci\u00f3n humana se aplazaban al disparador en su lugar. Esta es una ruta de c\u00f3digo diferente de CVE-2026-58076, que cubre la misma deserializaci\u00f3n de nodo de excepci\u00f3n sin protecci\u00f3n alcanzada en otro lugar - las implementaciones que aplicaron esa correcci\u00f3n tambi\u00e9n deben actualizarse para este problema. Se aconseja a los usuarios actualizar a apache-airflow 3.3.1 o posterior."
}
],
"id": "CVE-2026-67260",
"lastModified": "2026-10-24T16:10:00.153",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 7.3,
"baseSeverity": "HIGH",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.4,
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-67260",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-08-12T16:00:14.166719Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-08-12T16:17:14.813",
"references": [
{
"source": "security@apache.org",
"tags": [
"Issue Tracking",
"Patch"
],
"url": "https://github.com/apache/airflow/pull/70685"
},
{
"source": "security@apache.org",
"tags": [
"Mailing List",
"Vendor Advisory"
],
"url": "https://lists.apache.org/thread/vygr0fh82cjzjp5k4vtfmboxryvm3lyn"
},
{
"source": "security@apache.org",
"tags": [
"Not Applicable"
],
"url": "https://www.cve.org/CVERecord?id=CVE-2026-58076"
}
],
"sourceIdentifier": "security@apache.org",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-502"
}
],
"source": "security@apache.org",
"type": "Secondary"
}
]
}
},
"vulnrichment": {
"containers": {
"adp": [
{
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 7.3,
"baseSeverity": "HIGH",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L",
"version": "3.1"
}
},
{
"other": {
"content": {
"id": "CVE-2026-67260",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "yes"
},
{
"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-08-12T16:00:14.166719Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2026-08-12T16:00:03.271Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"collectionURL": "https://pypi.python.org",
"defaultStatus": "unaffected",
"packageName": "apache-airflow",
"packageURL": "pkg:pypi/apache-airflow",
"product": "Apache Airflow",
"vendor": "Apache Software Foundation",
"versions": [
{
"lessThan": "3.3.1",
"status": "affected",
"version": "3.3.0",
"versionType": "semver"
}
]
}
],
"credits": [
{
"lang": "en",
"type": "finder",
"value": "Erik Villegas (GitHub: @erik-451)"
},
{
"lang": "en",
"type": "remediation developer",
"value": "Jarek Potiuk"
}
],
"descriptions": [
{
"lang": "en",
"supportingMedia": [
{
"base64": false,
"type": "text/html",
"value": "Apache Airflow 3.3.0 moved human-in-the-loop tasks from the triggerer to a new `awaiting_input` task state swept by the scheduler. That sweep deserializes the task instance\u0026#x27;s `next_kwargs` without an allow-list, so a Dag author \u2014 who controls that value through the task execution API \u2014 can cause an arbitrary module import and object instantiation inside the scheduler process, or terminate the scheduler job. No non-default configuration is required: the sweep runs unconditionally every 15 seconds, and the default `allowed_deserialization_classes` setting does not cover this code path. Versions before 3.3.0 are not affected, because human-in-the-loop tasks deferred onto the triggerer instead. This is a different code path from CVE-2026-58076, which covers the same unguarded exception-node deserialization reached elsewhere \u2014 deployments that applied that fix must upgrade for this issue as well. Users are advised to upgrade to apache-airflow 3.3.1 or later."
}
],
"value": "Apache Airflow 3.3.0 moved human-in-the-loop tasks from the triggerer to a new `awaiting_input` task state swept by the scheduler. That sweep deserializes the task instance\u0027s `next_kwargs` without an allow-list, so a Dag author \u2014 who controls that value through the task execution API \u2014 can cause an arbitrary module import and object instantiation inside the scheduler process, or terminate the scheduler job. No non-default configuration is required: the sweep runs unconditionally every 15 seconds, and the default `allowed_deserialization_classes` setting does not cover this code path. Versions before 3.3.0 are not affected, because human-in-the-loop tasks deferred onto the triggerer instead. This is a different code path from CVE-2026-58076, which covers the same unguarded exception-node deserialization reached elsewhere \u2014 deployments that applied that fix must upgrade for this issue as well. Users are advised to upgrade to apache-airflow 3.3.1 or later."
}
],
"metrics": [
{
"other": {
"content": {
"text": "important"
},
"type": "Textual description of severity"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-502",
"description": "CWE-502: Deserialization of Untrusted Data",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-09-16T14:56:08.113Z",
"orgId": "f0158376-9dc2-43b6-827c-5f631a4d8d09",
"shortName": "apache"
},
"references": [
{
"tags": [
"patch"
],
"url": "https://github.com/apache/airflow/pull/70685"
},
{
"tags": [
"vendor-advisory"
],
"url": "https://lists.apache.org/thread/vygr0fh82cjzjp5k4vtfmboxryvm3lyn"
},
{
"tags": [
"related"
],
"url": "https://www.cve.org/CVERecord?id=CVE-2026-58076"
}
],
"source": {
"discovery": "UNKNOWN"
},
"title": "Apache Airflow: DAG-author remote code execution on the Scheduler via awaiting_input next_kwargs deserialization",
"x_generator": {
"engine": "airflow-s/generate_cve_json.py"
}
}
},
"cveMetadata": {
"assignerOrgId": "f0158376-9dc2-43b6-827c-5f631a4d8d09",
"assignerShortName": "apache",
"cveId": "CVE-2026-67260",
"datePublished": "2026-08-12T15:33:02.858Z",
"dateReserved": "2026-07-29T10:04:08.525Z",
"dateUpdated": "2026-09-16T14:56:08.113Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
Loading…
Loading…
Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
Loading timeline…
Loading…
Loading…
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.
Loading…
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.