Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E192B535A0402A3F12B7C3CDB762B72EA1D3924AD78A1D1552FC4B5E8BDAF50CC1356A |
|
CONTENT
ssdeep
|
384:Gpy5NFPIBh8+1xmDPQGtjnOA770HoConIYsOy2+y9BH4cUUIe:Gpy5NFPIkPQGtjnOA770Hly7sOy2+y9j |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c747bd3a91699298 |
|
VISUAL
aHash
|
000020200000ffff |
|
VISUAL
dHash
|
1cc0c0c3cccc8300 |
|
VISUAL
wHash
|
00f07070240fffff |
|
VISUAL
colorHash
|
39000000180 |
|
VISUAL
cropResistant
|
0010606969680420,0080800270908000,9cc0c0c8c3cccca3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.