CVE-2025-61301: Denial-of-analysis in reporting/mongodb.py and reporting/jsondump.py in CAPEv2 (commit 52e4b43, on 2025-05-...
Denial-of-analysis in reporting/mongodb.py and reporting/jsondump.py in CAPEv2 (commit 52e4b43, on 2025-05-17) allows attackers who can submit samples to cause incomplete or missing behavioral analysis reports by generating deeply nested or oversized behavior data that trigger MongoDB BSON limits or orjson recursion errors when the sample executes in the sandbox.
Security readout for executives and security teams
Plain-English summary
CAPEv2 can fail to produce complete malware-analysis reports when an attacker submits a sample that generates excessively large or deeply nested behavior data. The weakness disrupts analysis availability rather than exposing or altering stored information, potentially creating blind spots for security teams relying on sandbox results.
Executive priority
Prioritize remediation for internet-accessible or broadly shared malware-analysis services because attackers could suppress analysis results and create investigation blind spots. Treat this as an availability and detection-integrity issue, not evidence of data theft. Restrict submissions and increase report-failure monitoring while the responsible team confirms an official fix.
Technical view
CVE-2025-61301 is a CWE-400 resource-handling weakness in CAPEv2 reporting/mongodb.py and reporting/jsondump.py. Executed samples can generate behavior data that exceeds MongoDB BSON limits or orjson recursion limits, causing incomplete or missing reports. The supplied CVSS 3.1 score is 7.5, with network-accessible, low-complexity, unauthenticated impact characterized as availability-only.
Likely exposure
Exposure is most plausible where CAPEv2 accepts samples from untrusted or unauthenticated network users and uses the affected reporting paths. The source bundle identifies commit 52e4b43 but provides no reliable affected-version range, deployment prevalence, or configuration prerequisites. Each deployment therefore requires revision and reporting-configuration review.
Exploitation context
The described attack requires submitting a sample whose sandbox behavior produces oversized or deeply nested report data. CISA KEV status is false, and the supplied sources provide no evidence of active exploitation. Public technical research is referenced, but exploitation prevalence and operational reliability are not established in the bundle.
Researcher notes
The record names two reporting modules and two failure boundaries, but does not provide affected releases, a fixed version, or an official mitigation. Commit 52e4b43 is referenced as the observed code state, not necessarily a complete version boundary. Validate conclusions against CAPEv2 history and vendor guidance before declaring individual systems vulnerable or remediated.
Mitigation direction
Check current CAPEv2 vendor guidance and repository history for an official correction or safe release.
Restrict sample submission to authenticated, trusted users until exposure is resolved.
Apply submission quotas and resource controls as interim safeguards where operationally appropriate.
Monitor for missing reports, BSON-size failures, recursion errors, and repeated suspicious submissions.
Validation and detection
Identify the deployed CAPEv2 revision and compare it with current vendor guidance.
Confirm whether MongoDB and JSON dump reporting modules are enabled.
Review reporting logs for BSON limit, recursion, serialization, or incomplete-report errors.
Verify every completed sandbox execution produces expected reports across configured reporting backends.
Test any vendor-provided correction in an isolated environment using safe boundary-condition data.
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
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cwe · low confidence lookup
CWE-400: Exact CWE lookup
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CWE-400 · source CWE mapping
Uncontrolled Resource Consumption
Uncontrolled Resource Consumption represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.