Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182A37A33411975274437C6D130A55B3BD2A6998FFEE70A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
768:uSjy5Ni1BLz4NP3+mZY9svblTOCVru3VKN3+YFtiuCa28y2OZL:d1BLz4NP/y9svbliCddFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d261fc32cd3c9169 |
|
VISUAL
aHash
|
00600000000400ff |
|
VISUAL
dHash
|
8ccccce8c9dc3df2 |
|
VISUAL
wHash
|
c0fefe18044f00ff |
|
VISUAL
colorHash
|
310410002c0 |
|
VISUAL
cropResistant
|
ca55714d4d715596,008081303000a000,9cccccd8e8dcdc33 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.