UK luxury car manufacturer uncovers targeted attack activity 60% above baseline
A UK luxury car manufacturer could not tell opportunistic scanning from deliberate targeting of its external estate. Lupovis intelligence showed who was targeting the business, what they were after and how quickly new vulnerabilities were being exploited.
Automotive · Vulnerability intelligence
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Vulnerability intelligence
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Summary
A UK luxury car manufacturer could not tell opportunistic scanning from deliberate targeting of its external estate. Lupovis intelligence showed who was targeting the business, what they were after and how quickly new vulnerabilities were being exploited.
At a glance
- Integration: SIEM and SOC
- Deployment: Fully managed
- Year: 2024
Headline results
- Targeted attack activity running 60% above the average Lupovis customer baseline
- CVE exploitation observed within 4 hours of public disclosure, which validated and accelerated patching decisions
- Attacker objectives uncovered, including interest in specific business units and services
The challenge
The manufacturer's operations span high-value digital platforms, connected vehicle services and international supply chains. It faced growing uncertainty over who was targeting its external infrastructure and why.
The security team had mature detection tooling but struggled to separate background noise from meaningful threat activity. Without intent-based signals, threat hunting across the external estate was limited. The business wanted to understand attacker behaviour early in the kill chain, validate its patching cadence and find gaps in perimeter visibility.
The solution
Lupovis gave the security team intelligence on attacker activity directed at the brand, enriched with wider threat context. It was delivered straight into the customer's SIEM and SOC for immediate triage, and it underpinned both threat hunting and strategic threat reporting.
What changed
The manufacturer now has a clear view of who is targeting it and why, based on real attacker behaviour seen before any damage was done. The volume of targeted activity was well above what Lupovis sees for an average customer.
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The outcome
Observed exploitation timelines gave the team evidence to patch faster. Knowing which business units and services attackers cared about has focused investment in prevention and visibility on the assets at highest risk.
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