Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T130E2BD30F4A669A651F3DAD5E022BF1AB0D2F70EC94D94524FFC86560FD3C75BA860A0 |
|
CONTENT
ssdeep
|
384:jMD+CE4igMjX8FbTb3N63uPPFyCKJm9/C47VPhq/iD1H8r:wvjigMIFdY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eced13c5e4129359 |
|
VISUAL
aHash
|
fffbfff3f3fb0000 |
|
VISUAL
dHash
|
8513332706873054 |
|
VISUAL
wHash
|
fff1dff3f3000000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
8513332706873054,1767635b3329393d |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)