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Apache Airflow EUVDEUVD-2026-57315

| CVE-2026-58076 HIGH
Deserialization of Untrusted Data (CWE-502)
2026-08-12 apache GHSA-8prw-8m6x-8w6f
8.8
CVSS 3.1 · NVD
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Severity by source

Vendor (apache) PRIMARY
HIGH
qualitative
NVD
8.8 HIGH
AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
vuln.today AI
8.8 HIGH

DAG-author access (PR:L) is the sole prerequisite; Scheduler processes the payload automatically over the network path, with full C/I/A impact on credential-holding components.

3.1 AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
4.0 AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H

Primary rating from Vendor (apache).

CVSS VectorNVD

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Attack Vector
Network
Attack Complexity
Low
Privileges Required
Low
User Interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

Lifecycle Timeline

6
Analysis Updated
Aug 14, 2026 - 19:30 vuln.today
v2 (cvss_changed)
Re-analysis Queued
Aug 14, 2026 - 19:22 vuln.today
cvss_changed
CVSS changed
Aug 14, 2026 - 19:22 NVD
8.8 (HIGH)
Source Code Evidence Fetched
Aug 12, 2026 - 16:25 vuln.today
Analysis Generated
Aug 12, 2026 - 16:25 vuln.today
CVE Published
Aug 12, 2026 - 15:40 cve.org
HIGH

DescriptionNVD

Apache Airflow's serialization layer reconstructed exception nodes by calling import_string() on a class name taken from the serialized blob and instantiating it with arguments from the same blob, with no restriction on what could be imported. An operator's executor_config reaches that branch, so a Dag author could place a value there that causes an arbitrary callable to be imported and invoked -- for example subprocess.check_output, or builtins.eval on the builtins-prefixed variant. The code runs in the Scheduler, which reconstructs serialized Dags in its normal loop with no request involved, and in the API server, on any authenticated read of the Dag such as GET /api/v2/dags/{dag_id}/details. Both are components the Airflow security model states must never execute Dag-author code, and both hold the metadata database credentials and the JWT signing secret. No non-default configuration is required. This is a different sink from CVE-2026-33264, which covered only the trigger branch of the same deserializer: deployments that upgraded in response to that advisory are still affected through the exception branch and must upgrade again. Users are advised to upgrade to apache-airflow 3.3.1 or later, which restricts the imported class to a subclass of BaseException.

AnalysisAI

Unsafe deserialization in Apache Airflow 3.0.0 through 3.3.0 allows any DAG author to achieve arbitrary code execution in the Scheduler and API server by placing a crafted value in an operator's executor_config field. The serialization layer reconstructed exception nodes by calling import_string() on an attacker-controlled class name with no allowlist, enabling import and invocation of arbitrary callables such as subprocess.check_output or builtins.eval. …

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Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata

Access
Obtain DAG-author access
Delivery
Craft executor_config with arbitrary callable reference
Exploit
Deploy malicious DAG to Airflow
Execution
Scheduler auto-deserializes DAG in processing loop
Persist
Arbitrary callable executed in Scheduler context
Impact
Exfiltrate database credentials and JWT secret

Vulnerability AssessmentAI

Exploitation The attacker must hold DAG-author access - specifically the ability to write to the DAG directory or submit a DAG containing a crafted executor_config on any operator. … Additional conditions and limiting factors are described in the full assessment.
Risk Assessment The CVSS 8.8 score with vector AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H accurately reflects the threat: network-reachable, low complexity, requiring only DAG-author-level access. … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in.
Exploit Scenario An attacker with DAG-author access crafts an operator whose executor_config encodes a BASE_EXC_SER blob naming subprocess.check_output as the exception class and a shell command as its arguments. Once the DAG is committed to the DAG folder or uploaded via the API, the Scheduler reconstructs it in its normal processing loop, triggering import and execution of subprocess.check_output with the attacker's arguments - granting arbitrary OS command execution under the Scheduler's service account, which has access to database credentials and the JWT signing secret. …
Remediation Upgrade to apache-airflow 3.3.1 or later, which replaces the unconstrained import_string() call in the exception deserialization path with a restricted resolver (_resolve_airflow_exception) that only allows classes already present in sys.modules that are confirmed subclasses of AirflowException, and limits builtin exception reconstruction to a hardcoded allowlist of KeyError and AttributeError. … Detailed patch versions, workarounds, and compensating controls in full report.

Recommended ActionAI

Within 24 hours, inventory all Apache Airflow deployments running versions 3.0.0-3.3.0 and immediately begin upgrades to Apache Airflow 3.3.1 (note: this is a distinct vulnerability from CVE-2026-33264; organizations that patched that prior advisory remain fully vulnerable). …

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Apache Airflow 3.0.x prior to 3.2.0 allows remote unauthenticated attackers to trigger unauthorized DAG (Directed Acycli

CVE-2026-68968 HIGH
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Authorization bypass in Apache Airflow's Backfill API (all versions prior to 3.3.1) allows any authenticated user holdin

CVE-2026-67260 HIGH
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Remote code execution and scheduler-process disruption in Apache Airflow 3.3.0 stems from unguarded deserialization of t

CVE-2026-49296 MEDIUM
6.5 Jul 07

Unauthorized source code disclosure in Apache Airflow before 3.3.0 allows authenticated users to read the source of DAGs

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EUVD-2026-57315 vulnerability details – vuln.today

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