Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ECD27371F194363F41A7D2D8B320672EB2D3428EEB962A1163F9539D0BE7E10DD63426 |
|
CONTENT
ssdeep
|
384:uAe/GLCbWliRAZXWdYf8XL/vZODurWgV/lT2ERmNycwgLIYsOy2+y9BH4cUUIe:Ne/GLCzL/QXGrGycV7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d272fc38c969c1c9 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c2c48c8cd4d8b00 |
|
VISUAL
wHash
|
80c4e0203d07ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0080800458988000,982c0c48c9cdcd0f |
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.