Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EDB37933411875274437C6D530A55B3BE2E69A4FFA970A010EECD7EB1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:fILz4NP/y9svbliCdWEgmFtiuCa28y2O9:emA2gF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d261ed36bd6d9041 |
|
VISUAL
aHash
|
00004000040470ff |
|
VISUAL
dHash
|
98ccc4caccece398 |
|
VISUAL
wHash
|
006c70302e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04208e86860c3008,c004800158588090,98ccc4c0c8ccece3 |
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.