Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ED4115108590980CF741E0E0F2B2EF3737014A93968B0FB49AE4666D99CA4B55DB23CD |
|
CONTENT
ssdeep
|
24:kmsJw78YvyYVYDOFeZ1ts3y9OiRNHr6FeEffY7SaT9Hm9KbSShNe2NbEqQ9KX6jM:CJLKLaDHth9O87ZZHlbjA2BDX614 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83f62f010909fdfc |
|
VISUAL
aHash
|
3f3f3f3f3f3f3f3f |
|
VISUAL
dHash
|
d0ccccc8d0d0d0d0 |
|
VISUAL
wHash
|
0f0707070f0f0f0f |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
a098989080808080,f3c29492b69482f3,0e31b10e20000000 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.