Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FED2983271006A3B41D792D9B321F32EA2A7824ED7460459E2FD93AD4BD3DE4DE33526 |
|
CONTENT
ssdeep
|
768:XScy5N/f0kW8x/m6QI7sOy2+y9BH4crIe:W0Ye6QI7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c664b43ad129d7c9 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1cc4c6c2c8cdb300 |
|
VISUAL
wHash
|
00f7f1202024ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
008080024c888000,9c8cc6c2c2c9cdb3 |
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.