Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EF9259B340199D1BC332A294B750BD8AE4CB914ECF158F455AEAC3DF1EE2CB36916748 |
|
CONTENT
ssdeep
|
192:PHizMX8l7SdFVSjuqfVbRyMapM5MaNM5MaGrWz9yv8XjczWdiZEyh1:KzMXaplaM+1QEK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d9ca4ba5385aa587 |
|
VISUAL
aHash
|
f8f8f8f8f8f8f8f8 |
|
VISUAL
dHash
|
1111513112521151 |
|
VISUAL
wHash
|
f8f8f888f8f8f800 |
|
VISUAL
colorHash
|
17c01000040 |
|
VISUAL
cropResistant
|
0000308e04a0055d,0000084c4c000000,4020c093c4c823c8 |
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 967 techniques to evade detection by security scanners and make reverse engineering more difficult.