Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T159241A62B215393F035F92C55B292F9DB2A0D1CDEB814DC06BF45168A3F2DE0B53A5CA |
|
CONTENT
ssdeep
|
1536:txeYlNlRQcKRWWQQOpI1KygiOfdZ0Qw7O+qATr9Iw2mjgbaI:tQaQ/Em7O+qAk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
afc639d24911c9b6 |
|
VISUAL
aHash
|
00b3bbfbf9fd8f89 |
|
VISUAL
dHash
|
4965675363711b13 |
|
VISUAL
wHash
|
00b7b3b9b1f90f09 |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
0049194d6d0d0000,6567737363711b13,0010696969698648 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 9 techniques to evade detection by security scanners and make reverse engineering more difficult.