Overview:
New spyware and viruses continue to appear at a rapid rate,
with several thousands of new malware detected each month. Attacks
now are more targeted and utilize multiple malware variants,
diminishing the likelihood of anti-malware vendors obtaining
every new malware sample for signature development. This targeted,
saturation approach has circumvented the effectiveness of traditional,
reactive security technologies such as signature-based malware
detection. A new, proactive security approach is needed to protect
against the growing number of new, unknown malware threats.
Proactive Security Platform
ScanSafe’s Web security applications are powered by Outbreak
Intelligence (OI), a proprietary security platform that detects
zero-hour and known malware threats. By using a combination
of multiple, correlated detection technologies, automated machine-learning
heuristics, and the industry’s largest Web data set, OI provides
the most effective solution against new and known Web malware.

Why Outbreak Intelligence?
- Protect your organization against malware
without solely depending on signatures
- Detect new malware accurately and avoid
false positives
- Scan inbound and outbound Web traffic for
malware and malware communications
- Leverage multiple, correlated detection
technologies, automated machine-learning
heuristics, and the industry's largest Web data
set
- Detect up to 15% more malware than
signature-based security technolgies
Multiple, Correlated Security Technologies:
OI uses multiple signature-based anti-malware scan engines
and multiple heuristic detection engines to scan inbound and
outbound Web traffic in real-time for new and known Web malware.
OI’s signature-based scanning detects known Web malware residing
on reputable and uncategorized Web pages. Signature detection
utilizes multiple, industry-leading anti-malware scan engines,
covers all known spyware and viruses, updates hourly and immediately
in emergencies, receives new signatures within two hours of
new malware detection, and is supported by 24/7 global malware
research conducted by the world’s largest malware laboratories
and collection networks.
ScanSafe’s proprietary heuristic engines utilize non-signature
detection techniques and automated machine-learning technologies
to dynamically generate several thousand fine-grained heuristic
parameters that reach beyond the scope of security researchers’
prior knowledge of malware. As a result, OI heuristic engines
detect up to 15% more malware than reactive signature-based
detection.
ScanSafe Web Security is powered by Outbreak
Intelligence which comprises of numerous correlated
detection technologies, automated machine-learning
heuristics, and multiple "scanlets" Outbreak
Intelligence builds a detailed view of each Web
request and the associated security risk to ensure
that ScanSafe customers use the Web safely.
|
Detection Technology |
Strength |
Limitations |
|
Signature
|
Reliable identification of known malware |
- Reactive, cannot identify new, unknown malware
- Effectiveness depends on the vendors’ possession
of malware sample
- Library sizes vary
- Response times vary
|
|
Reputation
|
Provides
historical context for unknown code |
- Focused on the past, does not consider present
behavior
- Accuracy depends on heuristic parameters
and size of data set
|
|
Behavior
|
Provides present context for unknown code |
- Focused on the present, does not consider
historical trends
- Accuracy depends on heuristic parameters
and size of data se
|
OI combines signature, reputation, and behavior detection
technologies, automated machine-learning heuristics, and
a vast Web data set to leverage the strengths of each detection
technology, without any of the limitations.
The URL reputation engine assesses the reputation of a Web
page by examining parameters such as IP address information,
country of the Web server, history and age of the URL, domain
registration information, network owner information, traffic
rank of the Web site, URL categorization information, and types
of content present. OI’s traffic behavior engine analyzes network
traffic patterns to identify suspicious, atypical traffic which
would suggest malicious code exploiting a vulnerability or malware
communications, for example, from an infected notebook computer
to a botnet command-and-control computer. A code behavior engine
determines the behavior of the code by modeling program logic,
behavioral rules, and contextual parameters that taken together
would suggest good or bad intentions.
The OI code reputation engine examines the Web code itself
to determine if it is unusual and possibly malicious. It compares
information such as type of code, history and age of the code,
frequency of the code, file structure/header/content patterns,
and program logic patterns, to code that is known to be good
or bad in ScanSafe’s massive Web data set. This engine is especially
effective for flagging new code that differs from the universe
of known good code.
The multiple detection engines give their assessments of
the code, and these assessments are then combined to produce
a comprehensive view of whether or not the new code is malicious.
Proactively Stopping WMF Malware:
- Period of Vulnerability: 28 days
- Zero-Hour Exploit: Vulnerability in the way
Windows handles Windows Metafile (WMF) image files.
- Malware: Trojan horses, backdoors, and other
malware embedded in images.
- Distribution: Images posted on a wide variety
of Web pages, including the customer support discussion
forum of a major technology manufacturer and other
reputable Web sites; email/Webmail; and IM.
- Result: OI’s multiple heuristic engines
detected the zero-hour malware programs before
signatures were available and proactively protected the
15% of ScanSafe’s customers that were attacked.
Industry’s Largest Web Data Set:
Any non-signature malware detection technology is only as
effective as the size of the data set it processes. By leveraging
its unique position at the Internet level, OI has unmatched
visibility of global Web data and emerging malware threats.
OI analyzes several terabytes of Web code each day and has compiled
a proprietary Web data set that goes back to 2004. This vast
Web data set, unique in the industry, ensures that OI is the
most accurate proactive malware security solution available.
Why Outbreak Intelligence?
Protect your organization against malware without solely
depending on signatures
- Detect new malware accurately and avoid false positives
- Scan inbound and outbound Web traffic for malware and
malware communications
- Leverage multiple, correlated detection technologies,
automated machine-learning heuristics, and the industry’s
largest Web data set
- Detect up to 15% more malware than signature-based security
technologies