Security readout for executives and security teams
Plain-English summary
This vulnerability can let malformed HTTP request metadata make affected hapi-based Node.js services crash or leave client connections hanging until timeout. The business impact is availability disruption, not data theft, based on the supplied sources.
Executive priority
Treat this as a service reliability risk. Prioritize internet-facing or business-critical hapi services first, but avoid emergency language unless internal evidence shows outages or exploit activity.
Technical view
hapi versions 15.0.0 through 16.1.0 throw an uncaught exception when processing a malformed accept-encoding header. The CVE maps to CWE-400, indicating uncontrolled resource consumption or availability impact. No CVSS score is provided in the bundle.
Likely exposure
Exposure is likely limited to Node.js applications using the hapi module in the affected version range, especially services reachable by untrusted HTTP clients.
Exploitation context
The source bundle does not show CISA KEV listing or cited evidence of active exploitation. The described trigger is a malformed accept-encoding header, but the provided evidence does not include exploit prevalence or confirmed attacks.
Researcher notes
Evidence is sparse: no CVSS vector, no patch version, and no exploit-status confirmation are included. The safest analysis is version-range exposure plus availability impact from malformed accept-encoding handling.
Mitigation direction
- Inventory hapi dependencies across package manifests and lockfiles.
- Check vendor advisory guidance before selecting a fixed version.
- Upgrade or replace affected hapi versions where vendor guidance supports it.
- Reduce exposure of affected services to untrusted clients where feasible.
- Monitor affected services for crashes, hangs, and timeout spikes.
Validation and detection
- Confirm whether hapi versions 15.0.0 through 16.1.0 are present.
- Map affected dependencies to deployed services and public routes.
- Review logs for crashes or timeouts tied to request header parsing.
- Confirm remediation by verifying the deployed dependency version.
- Document any remaining exposed affected services and compensating controls.
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-400: 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-2017-16013 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://nodesecurity.io/advisories/335CVE reference · x_refsource_MISC
- https://github.com/hapijs/hapi/issues/3466CVE 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.
Uncontrolled Resource Consumption
Uncontrolled Resource Consumption represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.