Security readout for executives and security teams
Plain-English summary
CVE-2018-3738 is an availability risk in the protobufjs Node module. Crafted invalid .proto files can cause excessive processing when parsed. Business urgency depends on whether your services parse .proto files from users, tenants, uploads, CI jobs, or other untrusted sources.
Executive priority
Prioritize if protobufjs parses untrusted .proto files in internet-facing, multi-tenant, or automated build workflows. Otherwise treat as a dependency hygiene issue with moderate availability concern.
Technical view
Sources describe a ReDoS issue in protobufjs when parsing crafted invalid .proto files. Affected versions are reported as up to and including 6.8.5. No CVSS score, fixed version, or active exploitation evidence is provided in the supplied bundle.
Likely exposure
Exposure is most likely in Node.js applications, build systems, developer portals, or APIs that use protobufjs and parse externally supplied .proto definitions.
Exploitation context
The supplied sources do not show CISA KEV status or active exploitation. Practical impact requires an attacker-controlled or low-trust path into protobufjs .proto parsing.
Researcher notes
Evidence is limited to a brief CVE description and HackerOne reference. The bundle identifies affected versions but does not provide CVSS, fixed release details, exploit status, or detailed remediation instructions.
Mitigation direction
- Inventory protobufjs usage and identify versions up to and including 6.8.5.
- Check protobufjs vendor or package advisory guidance for fixed versions before upgrading.
- Block or tightly restrict untrusted .proto file parsing where possible.
- Apply runtime timeouts and resource limits around .proto parsing workflows.
- Monitor parser errors, timeouts, and CPU spikes in affected services.
Validation and detection
- Review package lockfiles for protobufjs versions up to and including 6.8.5.
- Trace code paths that call protobufjs parsing or loading functions.
- Confirm whether .proto input can originate from users, tenants, uploads, or CI artifacts.
- Verify production controls limit parser execution time and resource consumption.
- After remediation, confirm deployed dependency versions and repeat exposure review.
Public sources used
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
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-770: Exact CWE lookup
Use the exact CWE identifier as the starting point before reviewing related ATT&CK behavior. 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.
Open ATT&CK lookupCVE-2018-3738 mapping review
Open the CVE-to-ATT&CK bridge for reviewed, inferred, or future official mappings tied to this CVE.
Open ATT&CK lookup- Severity
- Unknown
- CVSS
- Not scored
- Known Exploited
- No
- Published
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.
CVSS and timeline data
No CVSS vectors or timeline events were available in the normalized CVE source material.
Source materials
- CVE List V5 sourceCVE List V5
- https://hackerone.com/reports/319576CVE reference · x_refsource_MISC
Products and packages named in the record
CWE details
CWE links open Glexia weakness intelligence pages with official CWE context, developer remediation guidance, and related CVE mappings.
Allocation of Resources Without Limits or Throttling
Allocation of Resources Without Limits or Throttling represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.