Security readout for executives and security teams
Plain-English summary
A malicious CBOR message can make affected Java applications spend excessive resources while decoding data, causing a denial of service. Business impact is service disruption, not data theft, based on the supplied sources.
Executive priority
High for externally exposed services using this library; moderate for internal-only uses with trusted inputs. The primary risk is outage or degraded service availability.
Technical view
CVE-2024-23684 is an algorithmic complexity flaw in com.upokecenter:cbor DecodeFromBytes, affecting versions 4.0.0 through 4.5.1. CVSS 3.1 is 7.5 with network attack vector and high availability impact.
Likely exposure
Exposure is most likely in Java services that use com.upokecenter:cbor 4.0.0-4.5.1 to decode CBOR bytes from users, partners, APIs, files, or message queues.
Exploitation context
The supplied CVSS vector indicates remote, unauthenticated, low-complexity denial of service is possible. The bundle says KEV is false and provides no evidence of active exploitation.
Researcher notes
Evidence identifies CWE-407 and DecodeFromBytes algorithmic complexity. The source bundle does not name exploit activity, proof-of-concept details, or a specific fixed version, so remediation should follow vendor guidance.
Mitigation direction
- Inventory Java dependencies for com.upokecenter:cbor 4.0.0-4.5.1.
- Check the vendor advisory for fixed versions or official mitigation guidance.
- Prioritize remediation for internet-facing CBOR parsing endpoints.
- Limit untrusted CBOR payload size and request rate where feasible.
- Add operational timeouts or isolation around CBOR decoding paths.
Validation and detection
- Review SBOM, Maven, Gradle, and lockfiles for affected package versions.
- Map all DecodeFromBytes usage to externally influenced data paths.
- Confirm whether any public API accepts CBOR input.
- Monitor affected services for CPU spikes, timeouts, and request floods.
- Retest after remediation using non-offensive availability and regression checks.
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-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-2024-23684 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
- 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
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.
SSVC decision data
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:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H3.93.6CISA-ADPVulnerability scoring details
Base CVSS 3.1 score
7.5HighVector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/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/peteroupc/CBOR-Java/security/advisories/GHSA-fj2w-wfgv-mwq6CVE reference, VulnCheck · vendor-advisory
- https://github.com/advisories/GHSA-fj2w-wfgv-mwq6CVE reference, VulnCheck · vendor-advisory
- https://vulncheck.com/advisories/vc-advisory-GHSA-fj2w-wfgv-mwq6CVE reference, VulnCheck · third-party-advisory
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.
Inefficient Algorithmic Complexity
Inefficient Algorithmic Complexity represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.