Suspicious.MLApp

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Discovered: January 20, 2010
Updated: January 20, 2010 11:53:34 PM
Type: Misleading Application
Systems Affected: Windows

Suspicious.MLApp is a detection technology designed to detect entirely new malware threats without traditional signatures. This technology is aimed at detecting malicious software that has been intentionally mutated or morphed by attackers.

Antivirus Protection Dates

  • Initial Rapid Release version January 20, 2010 revision 034
  • Latest Rapid Release version May 04, 2018 revision 033
  • Initial Daily Certified version January 20, 2010 revision 040
  • Latest Daily Certified version May 05, 2018 revision 001
  • Initial Weekly Certified release date January 20, 2010

Click here for a more detailed description of Rapid Release and Daily Certified virus definitions.

Discovered: January 20, 2010
Updated: January 20, 2010 11:53:34 PM
Type: Misleading Application
Systems Affected: Windows

Symantec’s antivirus products contain a highly sensitive detection technology designed to detect entirely new malware threats without traditional signatures. This technology is aimed at detecting malicious software that has been intentionally mutated or morphed by attackers. You can submit files detected as suspicious to Symantec Security Response for further categorization. For instructions on how to do this, read Submit Virus Samples .

What to do in case of suspected erroneous detection (false positive) In rare cases where a legitimate file is misidentified and subsequently quarantined, your computer may behave abnormally or you may find that one or more applications no longer function as expected. In such rare situations, you should open the Quarantine in your Symantec antivirus product and review the list of files detected as suspicious. If you identify a potential misidentification, restore the file from Quarantine and allow it to run normally in order to regain the functionality of your computer or application.

Suspected false-positive detections can be reported to Symantec using our false-positive detection reporting page to contribute to the effectiveness of our product.