Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11C228734D64858372197E698F6328F8F72C98342D6474B6467F943BAE1CDCA0AD3538A |
|
CONTENT
ssdeep
|
192:4K+uZPqOC+4Ep4A4R4IJ4oW43OT6KfB01P2Z4w5GLvd:dqOL4A4A4R4IJ4x43OT8P2ZpUx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
999aa6078dcfa50b |
|
VISUAL
aHash
|
ff081818181800ff |
|
VISUAL
dHash
|
e031713232307196 |
|
VISUAL
wHash
|
ff18383c1c1818ff |
|
VISUAL
colorHash
|
01000000180 |
|
VISUAL
cropResistant
|
00c0c0c0c0c0c000,c48c8c9c8ca48c8c,20069696969e9e9e,70317132b2327130,92b6b6929ebe9a9a |
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 52 techniques to evade detection by security scanners and make reverse engineering more difficult.