Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3E29972B1106B3F019396CAB292A75A63E3834FD349051653FD836D0BE3D50ED2B66E |
|
CONTENT
ssdeep
|
768:yQePH8cKI5e2CguscmxBd7sOy2+y9BH4crIe:QcFby7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d340f93a9d6996c1 |
|
VISUAL
aHash
|
000020000004ffff |
|
VISUAL
dHash
|
988cccc8ec0cc300 |
|
VISUAL
wHash
|
006470303e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04200c86860c3004,0080800058988000,9888ccc8c8cc3cc3 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)