Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16A322F70D095B92312E382C5B7729F5B33808245DA630F1667E8C36FEEDBDA6DC06195 |
|
CONTENT
ssdeep
|
192:FL9sAUpsAYLi4ZC1BZyNajvuinXEj9aRmObn42:XkL+i4G3yNajjXiWz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a16734bccf3027b8 |
|
VISUAL
aHash
|
43000020ffffdfff |
|
VISUAL
dHash
|
96d6d6d2637e3c38 |
|
VISUAL
wHash
|
00000020ffffdfff |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
92626a36264a8202,aab9a5abab91b2a1,d6d6d6f3733ebc78,9696c6d6d6d6d6d2,4d95af2d0b7f373d |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.