Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D9E35431C6A50327D215478AE3DB3B5662DBD2C7CD527CE4F2A08139DBBAC482C76DA1 |
|
CONTENT
ssdeep
|
3072:UlHFKJKrjylK2E6IOZuagKI3ImJS20gIYLQICeIkPksuGIyIhuBnvRMD:+lKJIQ5IZf3N12 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed1695926ab34725 |
|
VISUAL
aHash
|
ff31000000f1fbfb |
|
VISUAL
dHash
|
2fe2e22365e31293 |
|
VISUAL
wHash
|
ff70300000f1fbfb |
|
VISUAL
colorHash
|
06e00000000 |
|
VISUAL
cropResistant
|
2be2e32367e31293,0082949494949200,9696969311531b59,8202020606060606,6189155501816d41,8c8cc5551b6d9b88,9f8d0d8c8f232264 |
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 147 techniques to evade detection by security scanners and make reverse engineering more difficult.