Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19CA151B2D09499360B5242C1F7B7377FBAB2C249CB050E7812F8532E5BCBEA5C61249C |
|
CONTENT
ssdeep
|
48:TVXllxIjSEgoqCznpSEgcpgYPGCewMwywlgGjqqlyTVaphwAgSjKfSTYp5A1LT+z:TtOlpJMT8pWSOfSTZuSGAT431 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
964fcd70e072c936 |
|
VISUAL
aHash
|
381c3e66064e06ff |
|
VISUAL
dHash
|
40686c8c8c8c4ccc |
|
VISUAL
wHash
|
3c3c0e66066e06ff |
|
VISUAL
colorHash
|
0f60a000000 |
|
VISUAL
cropResistant
|
12ea2ac8f438dc26,8496928082c0e8ec,606c6c8c8c8c4ccc,2000202244484849,d8d27ddcb434989b,d1cbc5a183860688,898089b8b889a8f3,40606ccc8c8ccc6c |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.