Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B91286129349662822DA4168FB32C7DB670586C5E30A0FE9573DC13FF48C6E5C93A5DD |
|
CONTENT
ssdeep
|
192:kX7AvUvtJ1tPRlKtRH+83SWHmS4LnxxWnbU/uB4MuXZAeYmfsXuOCLrVTE75sBbH:krBvL1FGreOSWVmSuO8RTEFsBr7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e969c39696659296 |
|
VISUAL
aHash
|
c3818181ffffffff |
|
VISUAL
dHash
|
233333233b0f2b2b |
|
VISUAL
wHash
|
81818181c3c7fbff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
233333233b0f2b2b,0062b1b5b521bb00,01909033c0c01000 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.