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APScheduler CVE-2026-31072

| EUVDEUVD-2026-30947 CRITICAL
Deserialization of Untrusted Data (CWE-502)
2026-05-19 mitre GHSA-9cfw-f3f9-7mm7
9.8
CVSS 3.1 · Vendor: mitre
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Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain

  1. Access
    Identify service exposing APScheduler serializer
  2. Delivery
    Craft JSON or CBOR payload referencing gadget class
  3. Exploit
    Submit payload to deserialization endpoint
  4. Execution
    unmarshal_object imports module and instantiates class
  5. Persist
    __setstate__ executes attacker-controlled logic
  6. Impact
    Achieve RCE in worker process

Vulnerability Assessment

Weakness
CWE
OWASP Top 10:2025
A08:2025 - Software or Data Integrity Failures
ASVS 5.0
V1 - Encoding and Sanitization Safe deserialization, type allowlists
MITRE ATT&CK

2 techniques across 2 tactics: Execution, Initial Access

The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up.

Exploitation Conditions

Exploitation requires that the target application actively deserializes attacker-reachable input through APScheduler's JSONSerializer or CBORSerializer - typically a job store, broker, or HTTP/queue endpoint that accepts JSON or CBOR payloads from an untrusted boundary and passes them into unmarshal_object. No authentication or user interaction is needed at the serializer itself (CVSS PR:N/UI:N), but the limiting factor is application-level: APScheduler does not expose a network listener on its own, so vulnerability is contingent on the embedding application surfacing the serializer to remote input. Exploitation also requires that suitable gadget classes (with exploitable __setstate__ behavior) are importable in the target Python environment, which is generally true for production deployments that include common stdlib or third-party modules.

Impact

CVSS 9.8 with vector AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H signals network-reachable, unauthenticated, low-complexity exploitation yielding full CIA loss - consistent with a serializer-side RCE primitive. Public POC availability (the linked gist) raises practical risk, yet EPSS sits at only 0.06% (19th percentile) and the vulnerability is not in CISA KEV, indicating it is not yet seeing broad opportunistic exploitation. The realistic threat is gated by whether a deployed application actually accepts external JSON/CBOR APScheduler payloads, which APScheduler itself does not expose by default - the CPE is unspecified (n/a) and EUVD lists 'n/a n/a' for affected versions, so the practical blast radius depends heavily on downstream integrators. Net: treat as high priority for any service known to pass untrusted input into APScheduler's serializers, but lower priority for internal-only schedulers that only deserialize trusted job stores.

Exploit ScenarioDerived

An attacker identifies a web service that reads scheduled-job payloads from an exposed queue, webhook, or REST endpoint and hands them to APScheduler's JSONSerializer or CBORSerializer. They submit a crafted payload referencing a Python class whose __setstate__ has side effects (for example a subprocess or os-module gadget) with attacker-controlled state, and unmarshal_object imports the module, instantiates the class, and triggers code execution in the worker process; the published gist at gist.github.com/nedlir/11fb77f35a59cbba73392a086b02a9c6 provides working payload construction.

Act Now Prioritize within 24-48h. Why: CRITICAL severity + public POC available.
Patch available 0.1% exploitation probability (EPSS)

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AnalysisAIv1 – May 20, 2026

Remote code execution in APScheduler (all versions through 3.10.x and 4.0.0a5) is achievable when applications deserialize attacker-controlled data via the bundled JSONSerializer or CBORSerializer. The unmarshal_object routine dynamically imports modules and invokes __setstate__ on arbitrary classes, letting an attacker pivot an untrusted payload into code execution; publicly available exploit code exists, though EPSS remains low at 0.06% (19th percentile).

RemediationAI

No vendor-released patch identified at time of analysis - neither the references nor EUVD enumerate a fixed version, so monitor https://github.com/agronholm/apscheduler for an upstream release and pin to it once published. As compensating controls, stop using JSONSerializer and CBORSerializer for any data store or transport that can receive untrusted input: switch to a serializer wrapped around a strict allowlist of permitted class paths, or move the job store to a backend the attacker cannot write to (for example a database protected by application-layer auth rather than a shared message bus). If you must keep the current serializers, place an authenticated, integrity-checked transport (mTLS or HMAC-signed payloads) in front of any endpoint that ultimately calls unmarshal_object - note this only shifts trust to the signing key and does not fix the underlying class-instantiation primitive. Audit application code for any path that feeds external HTTP, queue, or RPC bodies into APScheduler deserialization and gate it behind input validation until a patched release ships.

Affected VersionsENISA

n/a n/a

Affected Packages

pypi apscheduler no fix

Source: OSV (Open Source Vulnerabilities)

Affects your stack

Affects 1 package in pypi

Checking this CVE against your own stacks and servers is part of the Basic plan and up.

Technical ContextAI · show details

APScheduler is a widely embedded Python library for scheduling deferred and recurring jobs, often used inside web backends, data pipelines, and microservices. Its JSONSerializer and CBORSerializer reconstruct Python objects by reading a class path from the payload, importing that module at runtime, instantiating the class, and feeding attacker-controlled state into __setstate__. This is a textbook CWE-502 (Deserialization of Untrusted Data) flaw: although JSON and CBOR are themselves data-only formats, the surrounding unmarshal_object logic treats them as a serialization protocol that can resurrect arbitrary Python types, effectively reproducing the risk profile of pickle while masquerading as a 'safe' format.

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  • Exploit and PoC references, threat intelligence from 22 sources

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Severity by source

Vendor (mitre) PRIMARY 9.8 CRITICAL
AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
SUSE CRITICAL
Red Hat 8.8 HIGH

Primary rating from Vendor (mitre).

CVSS VectorVendor: mitre

Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

Lifecycle Timeline

2
CVSS changed
May 20, 2026 - 17:22 NVD
9.8 (CRITICAL)
CVE Published
May 19, 2026 - 00:00 nvd
UNKNOWN (no severity yet)

DescriptionCVE.org

The JSONSerializer and CBORSerializer in APScheduler (all versions including 3.10.x and 4.0.0a5) are vulnerable to Remote Code Execution (RCE) via Insecure Deserialization. The unmarshal_object function allows for arbitrary class instantiation and state injection by dynamically importing modules and calling __setstate__ on any class available in the Python environment. An attacker can exploit this by submitting a specially crafted JSON or CBOR payload to an application using these serializers

Executive ViewAI

Why It Matters

APScheduler, a widely-used Python task scheduling library, contains a critical remote code execution vulnerability affecting all versions through 3.10.x and 4.0.0a5 in its JSON and CBOR deserialization routines. With publicly available exploit code in circulation, any application using these vulnerable versions to process untrusted serialized data faces potential complete system compromise.

Business Impact: Severe
Compensating Controls

No vendor-released patch identified at time of analysis. Interim mitigations include: (1) restrict or disable JSONSerializer and CBORSerializer if application does not require deserialization of untrusted data; (2) whitelist safe object types for deserialization; (3) isolate APScheduler instances from untrusted network sources via firewall rules or network segmentation; (4) enforce least-privilege runtime execution with dropped capabilities and resource limits in containerized deployments.

Threat Intelligence Overview

EPSS Score
0.1%
Top 81% exploitable
Threat Intel
1
1 source
Exploit
POC
Public exploit code exists
Data Quality
8 sources
Confidence: High
EUVD NVD CVE.org EPSS Vulnrichment GHSA Vendor GitHub VulDB

How this decision was reached

The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.

SignalValue
Severity CRITICAL
CISA KEV No
Public POC Yes
EPSS 0.1%
Patch available Yes
Active threat No
Deciding rule
CRITICAL severity + public POC available
What every action level means
Emergency Immediate action required. Criteria: CRITICAL + in CISA KEV (actively exploited) without patch, OR CRITICAL + EPSS > 30% without patch, OR CRITICAL + active threat signals without patch.
Act Now Prioritize within 24-48h. Criteria: in KEV with patch available, OR CRITICAL + public POC, OR HIGH + EPSS > 10%, OR CRITICAL + active threat, OR any CRITICAL severity.
This Week Schedule remediation this week. Criteria: HIGH severity (CVSS 7.0-8.9). Patch within normal change window.
This Month Plan within 30 days. Criteria: MEDIUM severity (CVSS 4.0-6.9), lower exploitation probability. Include in regular patch cycle.
Monitor Track and reassess. Criteria: LOW severity (CVSS 0.1-3.9), minimal exploitation risk. No immediate action needed.

SSVC AssessmentENISA

SSVC Decision
Out-of-Cycle
Exploitation
Poc
System Exposure· derived
Open
Automatable
Yes
Human Impact
Very High
Technical Impact
Total

Priority Score

69
Low Medium High Critical
KEV: 0
EPSS: 0
CVSS: +49
PoC: +20
Weaponized: 0
Threat intel: 0
Gov advisory: 0

Attack Technique

Insecure deserialization occurs when an application converts serialized data (a stream of bytes representing an object's state) back into a living object without proper validation.

Remote Code Execution represents the critical moment when an attacker successfully runs arbitrary code on a target system without physical access.

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Vendor StatusVendor

SUSE

Severity: Critical
Product Status
SUSE Linux Enterprise High Performance Computing 12 Fixed
SUSE Linux Enterprise Module for Public Cloud 12 Fixed
SUSE Linux Enterprise Server 12 SP5 Fixed
SUSE Linux Enterprise Server for SAP Applications 12 SP5 Fixed
SUSE Linux Enterprise Server 12 Fixed

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