Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A7E35431C6A50337D215478AE3DB3B5662DBD2C7CD527CA4F2A08139DBBAC482C76DA1 |
|
CONTENT
ssdeep
|
3072:MluuKJurjylK2E6IOZuagKI3ImJS20gIYLQICeIkPksuGIyIhuBnvgAm:WRKJsQ5IZf3Nsl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed1295b26aba4527 |
|
VISUAL
aHash
|
ff31000000f1fbfb |
|
VISUAL
dHash
|
2fe2e22365a33292 |
|
VISUAL
wHash
|
ff70300000f1fbfb |
|
VISUAL
colorHash
|
06e00000000 |
|
VISUAL
cropResistant
|
2be2e32365a31292,04828c8c8c9c9200,9696969313531b59,8202020606060606,2109759521611d41,ae8c44133b2a9a4c,9f8d0d8c8f232660 |
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.