Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E4633B37F9283E7E53CB40EDFB38D646F3C18864D586812469DCD26E53C5CC2A24AB69 |
|
CONTENT
ssdeep
|
1536:aG+EsZ/8RYdwNCCKb/DVK7IMHBRK79MHBirpRXPZlQaQD9OehM+BrUgq4jJ:aTeXK1ajafrpR/PkEeDjJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf6b94c5c194c934 |
|
VISUAL
aHash
|
ff8181818181ffff |
|
VISUAL
dHash
|
494901290113242f |
|
VISUAL
wHash
|
ff0101010181ffff |
|
VISUAL
colorHash
|
1e000000000 |
|
VISUAL
cropResistant
|
494901290113242f,caca10a8a8889898 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.