Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T192A37933411875274437C6D430A95B3BE2E68A4FFAA70A414EECD7FA1BFAC60745B11A |
|
CONTENT
ssdeep
|
1536:XKopLz4NP/y9svbliCd0oInwTuuFtWAuCa2LX2ZP4:6oJmA5oInwTut4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c743bd3ab139c40e |
|
VISUAL
aHash
|
00202000000020ff |
|
VISUAL
dHash
|
58c0e4c8c8c4c3c8 |
|
VISUAL
wHash
|
007870607c30ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
c8004000185880a0,18c8e4c0c8c8c4c0 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.