Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E0125361A69D2C9D0106913BCD08BB0DBAE744FE7FAA3716246C697F24F2438C4BD758 |
|
CONTENT
ssdeep
|
192:rrtj3djliPg63Imx0Txbn+MMSucZVwh8qbHeM:ZBl8dw7+MMSucs97eM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b399cc6633992366 |
|
VISUAL
aHash
|
ffffe7e7e7e7ffff |
|
VISUAL
dHash
|
08000c4d4d4d0008 |
|
VISUAL
wHash
|
fcfce4e424240000 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
08000c4d4d4d0008 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)