Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CD234C726731B9A883DB52EEEB382D49B2C5489DF8CB4410F5C9968D13C7CD16287BB4 |
|
CONTENT
ssdeep
|
1536:a3+EsZ/8xDVR7MjBnRRMjBkDrpRXPZlQaQD9OehM+BrUgq4z:aokRwRXDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fbc4cc9595c4c1d1 |
|
VISUAL
aHash
|
ff81818185818181 |
|
VISUAL
dHash
|
4371494d5d4d4559 |
|
VISUAL
wHash
|
ff81c1c7cfe18181 |
|
VISUAL
colorHash
|
3ae00008000 |
|
VISUAL
cropResistant
|
4371494d5d4d4559,acae99ada8b13133,43a98e8a9a8a920d |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.