Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FDC2767261102B3F12A7C2C97351F72EA2E3924DE785181653FD875E0BE7E80ED2355A |
|
CONTENT
ssdeep
|
768:4SXy5NEGYV3LSv1zF4R/jxYpsXCole0P7sOy2+y9BH4crIe:kYV3LSv1RopCo5P7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfd32d12c9482 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49e3c3cc4ce600 |
|
VISUAL
wHash
|
80ed71300406ffff |
|
VISUAL
colorHash
|
31000200038 |
|
VISUAL
cropResistant
|
208080106c888000,1449c3e3c3cccce6 |
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.