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CVE Record

CVE-2021-41531: Invalid RPKI data could disable Route Origin Validation on RTR clients.

NLnet Labs Routinator prior to 0.10.0 produces invalid RTR payload if an RPKI CA uses too large values in the max-length parameter in a ROA. This will lead to RTR clients such as routers to reject the RPKI data set, effectively disabling Route Origin Validation.

UnknownCVSS not scoredNot KEV-listedUpdated
Glexia's TakeAutomated analysismoderate

Security readout for executives and security teams

Plain-English summary

Older NLnet Labs Routinator versions could send malformed RPKI-to-Router data when a ROA contains an excessively large max-length value. Routers may reject the full RPKI dataset, leaving Route Origin Validation effectively off and weakening protection against route-origin mistakes or abuse.

Executive priority

Prioritize remediation for network operators, ISPs, and enterprises that depend on RPKI ROV to protect BGP routing. The issue can silently remove an important routing-control layer, but public sources do not show active exploitation.

Technical view

Routinator before 0.10.0 may generate invalid RTR payloads from RPKI CA data containing too-large ROA max-length values. RTR clients, including routers, can reject the dataset, causing loss of Route Origin Validation. The source maps this to CWE-1288; no CVSS score is provided.

Likely exposure

Exposure is limited to environments running NLnet Labs Routinator before 0.10.0 as an RTR source for routers or other RPKI clients. Impact is highest for networks relying on ROV for BGP origin validation.

Exploitation context

The provided sources do not report active exploitation, and the CVE is not listed as KEV. The trigger depends on invalid or oversized ROA max-length data reaching Routinator through RPKI CA data, then being distributed to RTR clients.

Researcher notes

Evidence is limited to the CVE record and NLnet Labs advisory. The key research focus is whether affected Routinator versions can emit RTR data rejected wholesale by clients, producing operational ROV disablement rather than code execution or data compromise.

Mitigation direction

  • Upgrade NLnet Labs Routinator to 0.10.0 or later.
  • Review NLnet Labs advisory for any deployment-specific guidance.
  • Confirm routers continue receiving valid RTR datasets after upgrade.
  • Monitor RTR and router logs for dataset rejection errors.

Validation and detection

  • Inventory all Routinator instances and record their versions.
  • Identify routers or RTR clients receiving data from affected instances.
  • Check whether any instance is older than 0.10.0.
  • Verify Route Origin Validation remains enabled on dependent routers.
  • Review logs for RTR payload or RPKI dataset rejection events.
Prepared
Confidence
high
Sources
3

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-1288: Exact CWE lookup

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cve · low confidence lookup

CVE-2021-41531 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
2Source links

CVSS and timeline data

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

Source materials

Affected products

Products and packages named in the record

VendorProductVersion / packageStatus
NLnet LabsRoutinatorunspecifiedListed
Weakness

CWE details

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

CWE-1288 · source CWE mapping

Improper Validation of Consistency within Input

Improper Validation of Consistency within Input represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.