New research reveals who’s targeted by email attacks February 15, 2021 Google's Kurt Thomas , Research Scientist, Security & Anti-Abuse Research and Neil Kumaran, Product Manager, Gmail Security
Every day, we stop more than
100 million harmful emails
from reaching Gmail users. Last
year, during the peak of the
pandemic crisis
we saw 18 million daily malware and
phishing emails
related to COVID-19. This is in
addition to more than 240 million
COVID-related daily spam messages.
Our ML models evolve to understand
and filter new threats, and we
continue to block more than 99.9% of
spam, phishing, and malware from
reaching our users.
We wanted to explore what factors
influence being targeted by email
phishing and malware and whether
higher-risk users are adopting the
strongest protections
we have to offer. To do this, we
teamed up with researchers at
Stanford University to study over a
billion phishing and malware emails
and their anonymized targets. We
recently presented our study at the
Internet Measurement Conference
(IMC), and it’s now available
here.
We found that multiple factors
correlate with higher risk: where
you live, what devices you use, and
whether your information appeared in
previous third-party data breaches.
We aggregated and analyzed all of
the phishing and malware campaigns
that Gmail automatically blocked
over a five-month period to identify
patterns.
We also noticed some patterns among
attackers and botnets that
distribute phishing and malware
emails:
While the users that attackers
target change from week to week, in
aggregate these patterns remain
largely stable over time.
Beyond how attackers operate
phishing and malware campaigns, we
also analyzed what factors put a
user at higher risk of attack. In
order to avoid singling out any
individual user or their personal
data, we used an anonymization
technique called “k-anonymity” to
ensure any risk trends that we
identified applied to a broad group
of similar users. We modeled the
likelihood of receiving any phishing
or malware emails in a given week as
a function of geographic location,
demographics, security posture,
device access, and prior security
incidents (such as having personal
data revealed by a third-party data
breach).
Here is what our model found:
These correlations help us
understand that risk is not evenly
spread across geographic and
demographic boundaries.
Gmail’s phishing and malware
protections are automatically turned
on by default. Here’s our top
recommendations for what you can do
today to stay safer.
For individual users:
For Workspace admins:
At Google we are committed to
keeping you safe and investing in
protections that help keep our
digital world secure. Get the latest
insights by joining us for
Google Cloud Security Talks
on March 3rd. |
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