Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15221F12080698C1717A29AD476D0272B788BC246CB831E0812F4C7BE5FEBE91CF141A5 |
|
CONTENT
ssdeep
|
24:haxzFKKH2K1Odg5ZtEfwXjDRk20gMEQxCao6S:IFKKWKko37Xu201waoB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
989b73e74c531a1c |
|
VISUAL
aHash
|
ffff3e1818180000 |
|
VISUAL
dHash
|
f0f8f0b2b2b1c8b2 |
|
VISUAL
wHash
|
ffffff1c18180800 |
|
VISUAL
colorHash
|
1bc00010000 |
|
VISUAL
cropResistant
|
e0e070f0c4e0c0c1,f0f8f0b2b2b1c8b2 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)