Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T104B3A3B1A052AD7B44A382C1A6316B1F72D39259CBA38742A7FAC35C1FDEDD0DC26449 |
|
CONTENT
ssdeep
|
1536:U90gV+SH9xY4xsSN7RQdWh5mNDL9o74AiOOOOZdWfEM0DSF:Uzpv509o74AGWfEM0DE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e3e7ae3c3019325c |
|
VISUAL
aHash
|
fbfffd6000001805 |
|
VISUAL
dHash
|
0b49c9d98c8432d9 |
|
VISUAL
wHash
|
fffffd6060001845 |
|
VISUAL
colorHash
|
13006000040 |
|
VISUAL
cropResistant
|
0b49c9d98c8432d9 |
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 166 techniques to evade detection by security scanners and make reverse engineering more difficult.