Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16382777155804E3F52A356E8B3B6EB15B0E2C04BCD0991C1ABFD861A83E9CF4C51DA2E |
|
CONTENT
ssdeep
|
192:Tf7w8DzgiaRydEJUgKk0XQVQHE3b9XQVQ3E3ioiKNEqooBnsd7otyuFRAuGrKsnW:yJUgmILoiKNRAuATnA40 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b373894ca726668d |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
c8180c0c1005c8fa |
|
VISUAL
wHash
|
3f0c1c002438ffff |
|
VISUAL
colorHash
|
07003000180 |
|
VISUAL
cropResistant
|
c8180c0c1005c8fa,45454d7131754d55 |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)