Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T143D26272A1983B3B42A7D2C9B320672AB3D3428DEB961A1163FD839D0FD7D50DD13526 |
|
CONTENT
ssdeep
|
768:N1e/GLAn+XAifQgMa7aRRE3GQrQm15Skj7sOy2+y9BH4cLIe:aQ37sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d272f53a914dc5c1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c0c4849cdcd9300 |
|
VISUAL
wHash
|
00c4f0203f05ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0080800458988000,9c2c4848c9cdcd0b |
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.