Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D0234A736722B86883DB91EDF7382D46B2D55889E8C74450F5C9AA8E23C3CC16197BB4 |
|
CONTENT
ssdeep
|
768:ax+EsZx8/G8yRF4WDawlMmBoow+rMmBok7Ucix+y9dQpUDF1E56ITmHDLBABW8KI:ax+EsZ/8UOWDawlMmBRw+rMmBP7UXx+t |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba6de59269e491d0 |
|
VISUAL
aHash
|
818181818d8d8581 |
|
VISUAL
dHash
|
7979716559594d49 |
|
VISUAL
wHash
|
ff8181818d8f8fa5 |
|
VISUAL
colorHash
|
11000000180 |
|
VISUAL
cropResistant
|
7979716559594d49,a4341036362d9d9f,4dcdabb3d4cc62bc,6bf9f0e58ccc8c9d |
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.