Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BA2341B261461A3FD98791CABB745B4EE1C3930BC6221C49F7F2835B9F82D60FC49624 |
|
CONTENT
ssdeep
|
768:dcZ8faZ8fFtK03CrwBTtrIHUp12TZ7viJBJBse+fZHzaDbcduhsty0gKIBKen8Q4:F3lIVWkF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bfbc7e40d8416361 |
|
VISUAL
aHash
|
12ffffffff000000 |
|
VISUAL
dHash
|
34264e5667ccc445 |
|
VISUAL
wHash
|
02bfffffff000000 |
|
VISUAL
colorHash
|
1e400018040 |
|
VISUAL
cropResistant
|
36366e4e5e5776af,0b24d4e4c4942262,172f6f3fbf7d3739,26ccc8c4c9e44549 |
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 132 techniques to evade detection by security scanners and make reverse engineering more difficult.