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CVE Record

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.

HighCVSS 7.5Not KEV-listedUpdated
Glexia's TakeAutomated analysishigh

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.
Prepared
Confidence
medium
Sources
4

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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ATT&CK lookup starting points

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cwe · low confidence lookup

CWE-400: Exact CWE lookup

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Open ATT&CK lookup
cve · low confidence lookup

CVE-2025-61301 mapping review

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Open ATT&CK lookup
Vulnerability profileCVE Program record
Severity
High
CVSS
7.5 (3.1)
Known Exploited
No
Published

Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Official CVE source material

CNA and ADP enrichment extracted from CVE v5

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
1ADP providers
3Source links

SSVC decision data

CISA-ADPCISA Coordinator
Timestamp
Version
2.0.3
Exploitation: pocAutomatable: yesTechnical Impact: partial

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.

ScoreVersionSeverityVectorExploitImpactSource
7.5CVSS 3.1HighCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H3.93.6CISA-ADP

Vulnerability scoring details

Base CVSS 3.1 score

7.5High
CVSS 3.1 vector shape for CVE-2025-61301Attack VectorAttack ComplexityPrivileges RequiredUser InteractionScopeConfidentiality ImpactIntegrity ImpactAvailability Impact

Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Attack Vector
NetworkAdjacentLocalPhysical
Attack Complexity
LowHigh
Privileges Required
NoneLowHigh
User Interaction
NoneRequired
Scope
ChangedUnchanged
Confidentiality Impact
HighLowNone
Integrity Impact
HighLowNone
Availability Impact
HighLowNone

Vulnerability timeline

Timeline events are normalized from CVE metadata, CNA source timelines, ADP timelines, and KEV metadata when present.

  1. CVE reservedCVE Program

    The CVE ID was reserved by the assigning CNA.

  2. CVE publishedCVE Program

    The CVE record was published.

  3. CVE updatedCVE Program

    The CVE record metadata indicates this as the latest update time.

ADP provider summaries

CISA-ADPCISA ADP Vulnrichment
cvssV3_1other:ssvc

Source materials

Affected products

Products and packages named in the record

VendorProductVersion / packageStatus
n/an/an/aListed
Weakness

CWE details

CWE links open Glexia weakness intelligence pages with official CWE context, developer remediation guidance, and related CVE mappings.

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.