Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ECE12EF0D444ED37435386D9A7BA6B0BB791C349CF430A4493F883AB6BDACA0CB15599 |
|
CONTENT
ssdeep
|
96:TkhoYnbzD71tDlt8v67McdwgwvFgeRX8HFWiehXAX/MZKytFo86fq2J:QhznbzD715lt8iIGwxuEOX7y3Naqw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecec65931a9a13c3 |
|
VISUAL
aHash
|
f3f3f3dfffffff00 |
|
VISUAL
dHash
|
262626b006100000 |
|
VISUAL
wHash
|
0000000c00000000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
262626b430000000,1213db4aca9a3494,12cd32d284936480,0000000000000000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.