Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FCD2A535B150273F125783CAB752F729A2D38245EF8E091962FD671E8BD3E90C92352B |
|
CONTENT
ssdeep
|
768:YSky5NeqetAGreWETLfXnE7sOy2+y9BH4c1Ie:ZeSrvXE7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343fc3abd29c1c2 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
98ccc4caccec0300 |
|
VISUAL
wHash
|
00ec7c702600ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080900458988000,d0c8c4d0cacccc08 |
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.