Security readout for executives and security teams
Plain-English summary
Werkzeug could spend excessive CPU parsing specially shaped multipart uploads. An attacker who can reach an endpoint that parses such data could tie up worker processes, causing denial of service for legitimate users. The sources identify patched Werkzeug releases: 2.3.8 and 3.0.1.
Executive priority
Treat as high priority for affected web services because a relatively simple request pattern can degrade availability. Remediate first on customer-facing upload or form-processing applications.
Technical view
Affected Werkzeug 2.x before 2.3.8 and 3.x before 3.0.1 append multipart data into a growing bytearray and repeatedly search for boundaries when a part begins with CR or LF followed by large data. This can block WSGI workers through high CPU usage.
Likely exposure
Python web applications using Werkzeug directly or through frameworks are exposed if they run affected versions and accept multipart/form-data parsing, especially file upload or form submission routes.
Exploitation context
The provided bundle does not establish active exploitation, and KEV is false. Exploitation requires the ability to send crafted multipart data to an endpoint that parses it; the CVSS vector supplied indicates adjacent access and low privileges.
Researcher notes
The advisory describes a parser-level resource exhaustion issue, not data theft. Validate exposure by dependency version and multipart parsing reachability. Avoid assuming exploit activity or affected downstream products beyond the cited NetApp advisory.
Mitigation direction
- Upgrade Werkzeug 2.x deployments to version 2.3.8 or later.
- Upgrade Werkzeug 3.x deployments to version 3.0.1 or later.
- Review Pallets advisory and downstream vendor guidance for deployment-specific actions.
- Prioritize internet-facing or business-critical services that parse multipart/form-data.
Validation and detection
- Check dependency lockfiles, SBOMs, containers, and runtime environments for Werkzeug versions.
- Map endpoints that accept multipart/form-data or file uploads.
- Confirm production artifacts use Werkzeug 2.3.8, 3.0.1, or later.
- Review monitoring for request worker saturation or CPU spikes around upload traffic.
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 lookupCWE-407: 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-2023-46136 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
- High
- CVSS
- 8 (3.1)
- Known Exploited
- No
- Published
Vector: CVSS:3.1/AV:A/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
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 vector scores
1 official scoreWe 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.
CVSS:3.1/AV:A/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H2.15.9GitHub_MVulnerability scoring details
Base CVSS 3.1 score
8HighVector: CVSS:3.1/AV:A/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Vulnerability timeline
Timeline events are normalized from CVE metadata, CNA source timelines, ADP timelines, and KEV metadata when present.
- CVE reservedCVE Program
The CVE ID was reserved by the assigning CNA.
- CVE publishedCVE Program
The CVE record was published.
- CVE updatedCVE Program
The CVE record metadata indicates this as the latest update time.
ADP provider summaries
Source materials
- CVE List V5 sourceCVE List V5
- https://github.com/pallets/werkzeug/security/advisories/GHSA-hrfv-mqp8-q5rwCVE reference, GitHub_M · x_refsource_CONFIRM
- https://github.com/pallets/werkzeug/commit/f3c803b3ade485a45f12b6d6617595350c0f03e2CVE reference, GitHub_M · x_refsource_MISC
- https://security.netapp.com/advisory/ntap-20231124-0008/CVE reference, CVE · x_transferred
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.
Inefficient Algorithmic Complexity
Inefficient Algorithmic Complexity represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.