CVE-2022-23307: A deserialization flaw in the Chainsaw component of Log4j 1 can lead to malicious code execution.
CVE-2020-9493 identified a deserialization issue that was present in Apache Chainsaw. Prior to Chainsaw V2.0 Chainsaw was a component of Apache Log4j 1.2.x where the same issue exists.
Security readout for executives and security teams
Plain-English summary
This flaw affects the old Apache Log4j 1.x Chainsaw component. If an affected system processes attacker-controlled serialized data through Chainsaw, malicious code execution may be possible. Log4j 1.x is legacy software, so the business risk is mainly hidden dependencies in older applications and vendor products.
Executive priority
Treat this as a high-priority legacy dependency risk. It does not have confirmed active exploitation in the provided sources, but potential code execution and Log4j 1.x end-of-life exposure justify rapid inventory, vendor validation, and migration planning.
Technical view
CVE-2022-23307 is a CWE-502 deserialization issue in Apache Chainsaw that also exists where Chainsaw was bundled as part of Apache Log4j 1.2.x. The CVSS 3.1 score is 8.8 with network attack vector, low complexity, low privileges, no user interaction, and high confidentiality, integrity, and availability impact.
Likely exposure
Exposure is most likely in legacy Java applications, appliances, or vendor products that still bundle Apache Log4j 1.x with the Chainsaw component. The provided sources identify Log4j 1.2.x but do not enumerate all downstream products or configurations.
Exploitation context
The source bundle does not show CISA KEV listing or cited evidence of active exploitation. The CVSS vector indicates network reachability with low complexity and low privileges, but practical exposure depends on whether affected Chainsaw deserialization paths are present and reachable.
Researcher notes
Evidence is strongest for the affected component and CVSS impact, but incomplete for downstream reachability, product-specific fixes, and exploitation in the wild. Validate actual risk by locating Log4j 1.x Chainsaw presence and determining whether deserialization input can be influenced by users or network clients.
Mitigation direction
Inventory applications and vendor products for Apache Log4j 1.x and bundled Chainsaw components.
Prioritize migration away from Log4j 1.x to supported logging components.
Remove or disable unused Chainsaw components where vendor guidance allows.
Apply relevant Oracle CPU updates for Oracle products if applicable.
Check Apache and affected vendor advisories for supported fixes and migration guidance.
Validation and detection
Confirm whether any deployed artifacts include Apache Log4j 1.x or Chainsaw classes.
Map affected components to externally reachable or authenticated application paths.
Review SCA, SBOM, and vendor advisory results for Log4j 1.x dependencies.
Verify Oracle product applicability against April and July 2022 CPU advisories.
Track KEV and vendor advisories for any later exploitation or remediation updates.
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.
1CVSS vectors
3Timeline events
2ADP providers
5Source links
SSVC decision data
CISA-ADPCISA Coordinator
Timestamp
Version
2.0.3
Exploitation: noneAutomatable: noTechnical Impact: total
CVSS vector scores
1 official score
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.