Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12BA37B33411875274437C6D530A55B3BE2E69A4FFAE70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:1xLz4NP/y9svbliCdN9V0wFtiuCa28y2O9:rmAab0z |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363f91a9c699643 |
|
VISUAL
aHash
|
00006000040470ff |
|
VISUAL
dHash
|
98c8c8caecccc390 |
|
VISUAL
wHash
|
006470381e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04324c4d4d4c1208,c004800158588090,9888ccc8eaccccc3 |
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.