Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A4A36933421935274437C6D530A55B3BE2A69A4FFAE70E010EECD7EA1BFACA0745711A |
|
CONTENT
ssdeep
|
1536:1FRLz4NP/y9svbliCdIgARx+FtiuCa28y2O9:hmAj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367c53ab619bc09 |
|
VISUAL
aHash
|
00600000000038ff |
|
VISUAL
dHash
|
c8c3c3cdcdd9d3f0 |
|
VISUAL
wHash
|
60f7793c050078ff |
|
VISUAL
colorHash
|
31000000c00 |
|
VISUAL
cropResistant
|
4080812030808080,c8c3c3d0cdc9d1d2 |
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.