CVE-2026-31072: The JSONSerializer and CBORSerializer in APScheduler (all versions including 3.10.x and 4.0.0a5) are vulner...
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
Security readout for executives and security teams
Plain-English summary
CVE-2026-31072 is a critical APScheduler deserialization flaw. Applications using its JSON or CBOR serializers may execute attacker-controlled code if hostile serialized data reaches the vulnerable unmarshalling path. Business risk is highest for internet-facing services or APIs that let users influence scheduler payloads or stored job data.
Executive priority
Treat as urgent for externally reachable Python services using APScheduler serialization. Prioritize inventory and exposure confirmation immediately, then apply vendor guidance when available.
Technical view
APScheduler JSONSerializer and CBORSerializer reportedly allow arbitrary class instantiation and state injection through unmarshal_object. The function dynamically imports modules and invokes __setstate__ on available classes. The CVE describes all versions including 3.10.x and 4.0.0a5 as affected, with CVSS 9.8 and CWE-502.
Likely exposure
Python applications using APScheduler with JSONSerializer or CBORSerializer are the primary concern. Exposure depends on whether attackers can submit, modify, or influence JSON or CBOR data that APScheduler later deserializes.
Exploitation context
The source bundle does not show KEV listing or cited evidence of active exploitation. Exploitation requires crafted JSON or CBOR reaching vulnerable APScheduler serializer unmarshalling in an affected application context.
Researcher notes
Affected-product metadata in the bundle is incomplete, but the description names APScheduler serializers directly. No patch, workaround, or exploitation evidence is included beyond references, so validation should focus on real data-flow reachability.
Mitigation direction
Check APScheduler and distribution vendor guidance for fixed versions or official workarounds.
Do not deserialize scheduler JSON or CBOR from untrusted sources.
Restrict who can create or modify scheduled job data.
Run affected services with least privilege and strong isolation.
Monitor Red Hat and APScheduler advisories for remediation status.
Validation and detection
Inventory applications and SBOMs for APScheduler usage.
Inspect configuration for JSONSerializer or CBORSerializer.
Trace whether external input can reach APScheduler serialized job data.
Review lockfiles for APScheduler 3.10.x, 4.0.0a5, or other versions.
Check vendor advisories for package-specific impact and fixes.
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
Potential ATT&CK relevance
Conservative CVE-to-ATT&CK context
These mappings and lookup hints may be relevant to the vulnerability behavior, CWE, affected product, or exposure path. Glexia-inferred context is not an official MITRE, ATT&CK, CWE, or CVE Program mapping.
ATT&CK lookup starting points
Use these exact CWE pages and searches to review the Glexia ATT&CK library from this CVE's weakness and description context.
cwe · medium confidence lookup
CWE-502: Code execution behavior lookup
Code execution and unsafe deserialization weaknesses often justify reviewing execution behavior and process telemetry. Open the exact CWE lookup page first, then review the ATT&CK searches from that MITRE weakness context. This is a Glexia lookup hint, not an official ATT&CK mapping.
The CVE wording references code or command execution, so execution technique review may help defensive triage. This is a Glexia inferred lookup path, not an official MITRE, ATT&CK, or CVE Program mapping.
These fields come from the CVE record and ADP containers, not from Glexia's Take. They preserve time-varying source decisions such as CISA SSVC, KEV status, CVSS metrics, and provider references.
2CVSS vectors
5Timeline events
2ADP providers
6Source links
SSVC decision data
CISA-ADPCISA Coordinator
Timestamp
Version
2.0.3
Exploitation: pocAutomatable: yesTechnical Impact: total
CVSS vector scores
2 official scores
We collect every scored CVSS vector available in the official CNA and ADP containers. When more than one version is present, the table keeps the source vectors side by side instead of collapsing them into the highest score.
CWE links open Glexia weakness intelligence pages with official CWE context, developer remediation guidance, and related CVE mappings.
CWE-502 · source CWE mapping
Deserialization of Untrusted Data
Deserialization of Untrusted Data represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.