Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18EF219F463A5E6BAA101C3E4D736563A739701FAEA838310C3ED9B9C49D9C8EDC5D841 |
|
CONTENT
ssdeep
|
384:enn+SFhXT79wacvrSXNhYcRKST+AYs+IuOSrRe5I4SHOB+Sv8XLyViGyVi6qKTq0:6hXTRlXND9bVbv9OpT8RVPt0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb2ac459dbc093d2 |
|
VISUAL
aHash
|
ff01010d0d0dffff |
|
VISUAL
dHash
|
b60f9d5b5919ccc0 |
|
VISUAL
wHash
|
ff0101010d09ffff |
|
VISUAL
colorHash
|
1b2000c0001 |
|
VISUAL
cropResistant
|
0103c0b4b003068e,f7eedcf1e0c48613,feffe08ffde264f0,f0d0989c9c989187,8080c0c08064e2e0,070f2ddb5b591919 |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)