Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T111B38A33411875274037C6D530A56B3BE2E68A9FFA970A014EECD7FA1BFAC60745B11A |
|
CONTENT
ssdeep
|
1536:jC34Lz4NP/y9svbliCd4I/qxf9FTFtWAuCa2nX2ZP4:m3WmA/IyxFFe4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c743bd3ab138c42e |
|
VISUAL
aHash
|
00202000000000ff |
|
VISUAL
dHash
|
58c8e0c8c8c491c8 |
|
VISUAL
wHash
|
00707060fc30ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
0000000118588090,39c8e4c0c8c8c490 |
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.