Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E9C18422B0847C1F8783D2ADAA60D7086342C791C71B4E0067B24A7FFDCAFA58E551DE |
|
CONTENT
ssdeep
|
96:t6g7l0OFYzQZVFAXC7KUSEBRlrC+mWFx/H7R6:cg72YV17nXV6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc38436d2d133b3c |
|
VISUAL
aHash
|
00ffdfff93ffffff |
|
VISUAL
dHash
|
0320373c33234c8e |
|
VISUAL
wHash
|
00db8fcf91ff0042 |
|
VISUAL
colorHash
|
07008000e00 |
|
VISUAL
cropResistant
|
02363c3733800d8e,000b0b3333031300,6d6c6c6c6c6e6d6d |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.