Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12A0203B021252A3F51839BB5F2D16BAEA1E88788C657967DF2ECC1661FC5C71CD8E240 |
|
CONTENT
ssdeep
|
192:uBgcI5IAYx6zMHyVlr+yvydyuyLJfWoXZ/5t:uBsimpFKQ1FvLt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a22a080ca4b7f7f7 |
|
VISUAL
aHash
|
0000e7ffffffffff |
|
VISUAL
dHash
|
a5b30c0c00080000 |
|
VISUAL
wHash
|
0000c7c700000000 |
|
VISUAL
colorHash
|
06006000000 |
|
VISUAL
cropResistant
|
8000c0c0800085a5,b30c0c0000000000,a58d273331e9b1b3 |
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 143 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)