Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T156428316A28013BB03874291EF916B85F7689B81E7161B045CFC532C9BD5F0AC97AFB9 |
|
CONTENT
ssdeep
|
192:w7QmwPyRRfQCH0lcHS4V1JYvMW4LaEI4yN:wnwGF034VQvMW4LaEI4yN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3cd3979494c5e0 |
|
VISUAL
aHash
|
df81818181ffffff |
|
VISUAL
dHash
|
333b17372fe03938 |
|
VISUAL
wHash
|
8181818181ffcfff |
|
VISUAL
colorHash
|
0f0000080c0 |
|
VISUAL
cropResistant
|
333b17372fe03938,b6b8622a1292a6ab,4432caca32cbab4b |
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 75 techniques to evade detection by security scanners and make reverse engineering more difficult.