Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ACA3DC234219752B4437C6C034AA5B3BD1A6998FFAF709005EDCC7FA6BF9CA0741A25D |
|
CONTENT
ssdeep
|
3072:/cDoW4lWZZPinfL9v5ht9p3Pdtv5y5+dRRBzRQh/9sZghKhCB4dNpHtu1oBWl5NZ:+uo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93136d21d3136d2f |
|
VISUAL
aHash
|
00070f2e2e0f01ff |
|
VISUAL
dHash
|
dcbf3cdcdcbd3700 |
|
VISUAL
wHash
|
00070f3f3f0f01ff |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fdb75cdcdcbd3700,dcbf3ddcdcdcb77f,939315179595b3a2,1c472103170c3c34,d8110c32320c50d8 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.