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DMARC Spoof Detection, Norway

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This page shows DMARC authentication failures originating from Norway. Learn more about this data.

Norway accounts for 177 DMARC authentication failures observed by sh4meful over the observation window, sourced from 60 distinct IP addresses across 5 networks. This represents approximately 0.2% of total failure volume observed. Activity from Norway has held roughly steady over the last 30 days. The most active source is Microsoft with 103 failures across 53 IP addresses.

Failures (Filtered)

177

IPs (Filtered)

60

Networks (Filtered)

5

Messages (Filtered)

188

Top Networks in Norway

Ten most active networks sourcing DMARC failures from Norway:

Network Organization Failures Distinct IPs Top City
MSFT Microsoft 103 53 Oslo
UK-MICROSOFT-20060601 Microsoft 70 4 Oslo
NO-TELENOR-62-92-0-0-17 โ€” 2 1 Oslo
NO-MO-INDUSTRIPARK-AS-NET โ€” 1 1 โ€”
NO-TELENOR-62-92-128-0-17 โ€” 1 1 Oslo

Microsoft and Microsoft together account for 97% of failure volume from this country. Concentration in a small number of networks suggests targeted infrastructure rather than diffuse compromise.

Failure Activity Over Time

Peak activity was observed in the week of April 27, 2026 with 2 failures recorded. Activity in the most recent 30-day window held roughly steady compared with the prior period (0 vs 0 failures).

Regional Context

Compared with peer geographies in Northern Europe, Norway's failure volume is above the regional median. Countries in this region collectively contributed 4% of failures observed.

Failures

Showing 171-177 of 177 failures, affecting 188 messages
Top Owners in Norway

What This Means

Country-level patterns don't imply that mail from Norway is inherently malicious. Many failures reflect misconfigured legitimate senders, forwarded messages that break authentication, or automated infrastructure operating without authorization. Domain owners investigating a specific failure should look at the source IP and network details rather than the country alone. Our DMARC guide explains how to interpret these signals in your own reports.