Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T190D2C872E2002B3F02C783CAB751F76FA2D35249E69A091652FCC35E47D7E50EA2351A |
|
CONTENT
ssdeep
|
768:kSky5N+yNPpVCXEqbLf/vtp/7sOy2+y9BH4c1Ie:ZNPyU03L7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d343dc3a9d6c9c82 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
90cccccacc2c8300 |
|
VISUAL
wHash
|
00ecfc600e00ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080900458988000,90ccccc0cacc0c44 |
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.