Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18FB463E4C200DDAB88B65489F565D7E4D305A720FFBE8E7472848F2A33DD83716266B1 |
|
CONTENT
ssdeep
|
3072:2m+yyGyWcoomKC69WDkXspMug98nKd0+w1:C8hO8nKd0+w1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93343c6d69cd2c93 |
|
VISUAL
aHash
|
002e3e287c007c3c |
|
VISUAL
dHash
|
d6d8f8c8c8a6d8d8 |
|
VISUAL
wHash
|
023e7e3e7e107e28 |
|
VISUAL
colorHash
|
38201200040 |
|
VISUAL
cropResistant
|
10264a0850b296e6,71f09e0e65694949,8b89692c4c4acaca,5155535255555555,d6d8f8c8c8a6d8d8 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.