Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T158234A726322B87883DB91EEF7382946B2D6589DF8C74454F5C95ACD23C3C816287BB4 |
|
CONTENT
ssdeep
|
768:a3+EsZx8/G8x4tDawgMLBdwaMLBPUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvtAZ:a3+EsZ/8itDawgMLBdwaMLBPUXx+y9d9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3fc0c03fc1c059 |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
7571717575000000 |
|
VISUAL
wHash
|
8101018181ffffff |
|
VISUAL
colorHash
|
1e007010000 |
|
VISUAL
cropResistant
|
7571717575000000,0008104d4d4c3008,b3b3f3b2b3f7f3f7 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.