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Coronavirus Mobile Scams.pdf

Status: finished
Submission Time: 2020-05-22 19:36:29 +02:00
Clean

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Details

  • Analysis ID:
    232514
  • API (Web) ID:
    361277
  • Analysis Started:
    2020-05-22 19:37:32 +02:00
  • Analysis Finished:
    2020-05-22 19:42:30 +02:00
  • MD5:
    48fe42cafa37f31a8354215e06e63560
  • SHA1:
    d1d843e45408abc2e60607479107570e9d583077
  • SHA256:
    61f3c4d52e1039268de46cc6d52ff08843646a16dbe10fe0b63d0c8b804c4c94
  • Technologies:

Joe Sandbox

Engine Download Report Detection Info
clean
Score: 0
System: Windows 10 x64 22H2 with Office Professional Plus 2019, Chrome 117, Firefox 118, Adobe Reader DC 23, Java 8 Update 381, 7zip 23.01

Dropped files

Name File Type Hashes Detection
C:\Users\user\AppData\LocalLow\Adobe\AcroCef\DC\Acrobat\Cache\Cache\data_1
data
#
C:\Users\user\AppData\LocalLow\Adobe\AcroCef\DC\Acrobat\Cache\LOG
ASCII text
#
C:\Users\user\AppData\LocalLow\Adobe\AcroCef\DC\Acrobat\Cache\Visited Links
data
#
Click to see the 3 hidden entries
C:\Users\user\AppData\LocalLow\Adobe\Acrobat\DC\ConnectorIcons\icon-200522173852Z-193.bmp
PC bitmap, Windows 3.x format, 45 x -152 x 32
#
C:\Users\user\AppData\LocalLow\Adobe\Acrobat\DC\ReaderMessages
SQLite 3.x database, last written using SQLite version 3024000
#
C:\Users\user\AppData\LocalLow\Adobe\Acrobat\DC\ReaderMessages-journal
data
#