Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13873B57DC141266B823385C7AE717718E0B652BEEF360C48FEF64354E7F9D0098A586A |
|
CONTENT
ssdeep
|
768:4tIImIIOsFmInm84EyNjIhQPPjNYEJNPP9jPIQx1tvdiLJxmiIvDjyfvkZC0S/4p:4tIImIIOsl4Vx1jirfcwBCfMa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a0553fb156abd0aa |
|
VISUAL
aHash
|
0300707070430301 |
|
VISUAL
dHash
|
5bfcc4c68483fbfd |
|
VISUAL
wHash
|
1f077f7777600301 |
|
VISUAL
colorHash
|
38200c00000 |
|
VISUAL
cropResistant
|
8000806d2d8000a0,5bfcc4c68483fbfd |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.