Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13FA297326218793B51ABC2CD7772733DE0E34219D78A0529A2F883AD47EAD90DD3355B |
|
CONTENT
ssdeep
|
384:iNy5NQZyDvmj0gR1sVzBALNVM/7IqiYywLmX8VI3IiFmIcWkGMAIIIIIze+Mew6Q:iNy5NQZyDvmj0gR1sVzBALjM/7IqiYyJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bec30b049e786 |
|
VISUAL
aHash
|
000020000400ffff |
|
VISUAL
dHash
|
1d63434bcc3c7100 |
|
VISUAL
wHash
|
00f1f1a00f00ffff |
|
VISUAL
colorHash
|
39001200180 |
|
VISUAL
cropResistant
|
00204c4d0c142000,6100a00170b08000,9d0b434b4bcc3c71 |
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.