Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13D4231708065AD2312A282C4B7729F4B33908244EB231F5667F8C36FEFDED56EC1A195 |
|
CONTENT
ssdeep
|
192:QP16129kdaWAWPCK0/cKaWuZdkrWQ8ChmEPWMcbRs3p6x2y:5Q9kdaHW6KcwlZiWchUMcZx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8cc9b7623336638 |
|
VISUAL
aHash
|
ffdfdbc3c3c3c3c3 |
|
VISUAL
dHash
|
b0b2b28e96969696 |
|
VISUAL
wHash
|
7e5b5943c0c3c3c3 |
|
VISUAL
colorHash
|
07e01000000 |
|
VISUAL
cropResistant
|
e0a496a28e8ea2b2,b0b2b28e96969696 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)