Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T165327233F500DD2A4DAB558CF2C09A89515EC349FB3148CAA1A491FF7BC4DF069A939D |
|
CONTENT
ssdeep
|
192:121B3JYYchcRchBZT1S52x2PMcnthWeNWbvMf+J8LfMmUU8VCoUzyDeKuE:c1jchcRchBZTQT+PJ8LfMmUFCoUmDeKP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3725c725c585c4c |
|
VISUAL
aHash
|
00e7e7ffe7e7ffff |
|
VISUAL
dHash
|
100c0c0c0c0c1008 |
|
VISUAL
wHash
|
00e4e0e0e4e4e5fc |
|
VISUAL
colorHash
|
07007000040 |
|
VISUAL
cropResistant
|
100c0c0c0c0c1008,0000404040404000 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.