Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CFF113D1C828E93643528AD4F7B57F5BF362C2C9EB02084022F4926FABDEDD0865599D |
|
CONTENT
ssdeep
|
192:Q5tN1zT8BCRlZilZlZlZlZilZU83TdTNPNz4XT+x:Q5tN1PTzizzzzizU83T9NPNhx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cb49b5b4b44cc89b |
|
VISUAL
aHash
|
00009000ffffffff |
|
VISUAL
dHash
|
cc8b33310c010000 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
07040210000 |
|
VISUAL
cropResistant
|
cc8b33310c010000 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)