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CVE Record

CVE-2018-3722: merge-deep node module before 3.0.1 suffers from a Modification of Assumed-Immutable Data (MAID) vulnerabil...

merge-deep node module before 3.0.1 suffers from a Modification of Assumed-Immutable Data (MAID) vulnerability, which allows a malicious user to modify the prototype of "Object" via __proto__, causing the addition or modification of an existing property that will exist on all objects.

UnknownCVSS not scoredNot KEV-listedUpdated
Glexia's TakeAutomated analysismoderate

Security readout for executives and security teams

Plain-English summary

CVE-2018-3722 affects the npm merge-deep module before 3.0.1. A malicious input object can change Object.prototype, making attacker-controlled properties appear on all objects in the application process. Business impact depends on where the library handles untrusted data.

Executive priority

Prioritize remediation where merge-deep processes external input in internet-facing services. Without evidence of active exploitation or CVSS scoring, this is not automatically emergency-level, but prototype pollution can create serious application-specific risk.

Technical view

This is a CWE-471 Modification of Assumed-Immutable Data issue, commonly seen as prototype pollution. merge-deep before 3.0.1 allowed __proto__ handling during deep merge, enabling modification of the base Object prototype and affecting later object property lookups.

Likely exposure

Exposure is limited to applications or dependencies using merge-deep versions before 3.0.1, especially where user-controlled objects are merged. The source bundle does not identify specific downstream products or deployments.

Exploitation context

The CVE describes malicious users modifying Object.prototype through __proto__. The bundle includes a HackerOne report and fixing commit, but KEV is false and no cited source states active exploitation in the wild.

Researcher notes

The available evidence supports affected package, vulnerable version range, weakness class, and fixed version boundary. It does not establish exploit prevalence, downstream product impact, or universal business impact. Validate reachability in each application context.

Mitigation direction

  • Upgrade merge-deep to version 3.0.1 or later.
  • Check vendor guidance and the linked fixing commit before applying compensating controls.
  • Avoid passing untrusted objects into vulnerable merge paths before upgrade.
  • Review dependency trees for transitive merge-deep usage.

Validation and detection

  • Search package lockfiles and SBOMs for merge-deep versions before 3.0.1.
  • Identify code paths that merge user-controlled JSON or request data.
  • Confirm production builds no longer resolve vulnerable merge-deep versions.
  • Retest application behavior after upgrade for merge-related regressions.
Prepared
Confidence
high
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-471: Exact CWE lookup

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cve · low confidence lookup

CVE-2018-3722 mapping review

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Vulnerability profileCVE Program record
Severity
Unknown
CVSS
Not scored
Known Exploited
No
Published
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.

0CVSS vectors
0Timeline events
0ADP providers
3Source links

CVSS and timeline data

No CVSS vectors or timeline events were available in the normalized CVE source material.

Affected products

Products and packages named in the record

VendorProductVersion / packageStatus
HackerOnemerge-deep node moduleVersions before 3.0.1Listed
Weakness

CWE details

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

CWE-471 · source CWE mapping

Modification of Assumed-Immutable Data (MAID)

Modification of Assumed-Immutable Data (MAID) represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.