Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T193D2B733B010663B4297C2CCB266B71EE2D79389D6460C4595FD83AE0BD7D94CA3372A |
|
CONTENT
ssdeep
|
768:vMScy5NCN9TJJM+9cOVgYOdisTJe7sOy2+y9BH4cLIe:vC9TJGJe7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363b41adc29d1e3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1ccccac2c8cdc300 |
|
VISUAL
wHash
|
00f7f1302004ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
008080024c888000,14cccec2c2c8c9c3 |
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.