Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T159234A726332B87883DB91EEF7382E46B2D6948DE8C74554B5C95ACD23C3C816193BB4 |
|
CONTENT
ssdeep
|
768:a0+EsZx8/G8zuRF4nDatMMRBftxMRBdUcix+y9dQpUDF1E56ITmHDLBABW8KPqDy:a0+EsZ/8zgOnDatMMRBftxMRBdUXx+yf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3ac3c3ca662634 |
|
VISUAL
aHash
|
fd8d83879fffffff |
|
VISUAL
dHash
|
49311f2d290c2000 |
|
VISUAL
wHash
|
8101818181f7ffff |
|
VISUAL
colorHash
|
07038000000 |
|
VISUAL
cropResistant
|
49311f2d290c2000 |
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.