Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12BA38933411875274037C6D530A55B3BE2E68A4FFAA70A014EECD7FA1BFACA0745B15A |
|
CONTENT
ssdeep
|
1536:3r3urMY5tkd7Z4LbUHzgyaAqYT+/kdwWh7ULz4NP/y9svbliCdCw99QCuQFtWAuc:zh76mAJw99QCur4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c743953ab838f523 |
|
VISUAL
aHash
|
00200000000020ff |
|
VISUAL
dHash
|
68c0c0c0c8c4c1c8 |
|
VISUAL
wHash
|
007860707c30ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
c000000058588090,19e0c0c0c8c8c4c0 |
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.