Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T186122F70A10E283BD98FCDC8BE30973A63E6C394CE4B4444A3F9939A1FE1C94CD46219 |
|
CONTENT
ssdeep
|
192:zioxkKnAwNis3DT+ftkCrRbzAh2sWttkEt34Fs:/xkMAKytkAxMh2ZPt34Fs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f6d989668b592619 |
|
VISUAL
aHash
|
fcfcc8fcf4e0c0f4 |
|
VISUAL
dHash
|
00101018680c1008 |
|
VISUAL
wHash
|
f8d8d8ecfce480e0 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
00101018680c1008 |
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 57 techniques to evade detection by security scanners and make reverse engineering more difficult.