Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1185397E123024F6ED99782D5FB607B3AE156834AC6179C4DF7F94017EB82E18EC563A0 |
|
CONTENT
ssdeep
|
768:Ot7KiPFy8FbHHxwKlsUA2dFIfadGEFyAHaWupHaWhBHaWd/HaWdB8Ph1TqcU9o4m:Ot75qPKwDUIeuNnkF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9d1ef5a324b4c591 |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
16397135f9cc1d92 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
13c01000000 |
|
VISUAL
cropResistant
|
ccccc1181cc552b2,3619393071353531 |
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 138 techniques to evade detection by security scanners and make reverse engineering more difficult.