Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14AA36933411935274437C6D530A95B3BD2E6994FFAA70E010EECD7EA2BFACA0B45711A |
|
CONTENT
ssdeep
|
1536:ZZLz4NP/y9svbliCdzmcvB4YoHFtiuCa28y2O9:7mA7QF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363c53ab61cbc29 |
|
VISUAL
aHash
|
00600000000030ff |
|
VISUAL
dHash
|
c8c3c3cccd0bd3f0 |
|
VISUAL
wHash
|
70fb790c050178ff |
|
VISUAL
colorHash
|
31000000c00 |
|
VISUAL
cropResistant
|
5080812030808080,c8c3c3e8cd09c3d2 |
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.