Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15E82877251804B7F52B356E8B3F6F725B0D2C04ACD0995C0ABFC862A83E5CE9D51E91E |
|
CONTENT
ssdeep
|
384:aCOpFu+hLDETwfQWnRILoiKNpegmZ3a3otAuATnA40:aCOpFu+hLDETwFnfegmZ3a3oeuAB0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b373894ca726668d |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
c8180c0c1005c8fa |
|
VISUAL
wHash
|
3f0c1c002438ffff |
|
VISUAL
colorHash
|
07003000180 |
|
VISUAL
cropResistant
|
c8180c0c1005c8fa,45454d7131754d55 |
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 40 techniques to evade detection by security scanners and make reverse engineering more difficult.