Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12B9176B892E1427B5043C6D1F599FB29D5E4C698CF239987E1FCC2C706C6C699DD23A0 |
|
CONTENT
ssdeep
|
96:x2T1b9AUcwLaODNJtaaCdoJP5wpeSujeXc5rVT:Y1b9A9w+QNJtFoyP1v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b2cc9966b6cc3389 |
|
VISUAL
aHash
|
ffffffe7e7e7ffe7 |
|
VISUAL
dHash
|
0000000c4c4d300c |
|
VISUAL
wHash
|
ff0f0303000000e7 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
0000000c4c4d300c |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)