Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19E93BD3286E5233E4A8B1BE4DD66631B31D6E3C9CE1B511C9EE90354A7C6EC9ED341C8 |
|
CONTENT
ssdeep
|
1536:E/J9/JH/Jn/JeZM/JlU/J1/JI/Jh/Js/Ja/JWw/JH/JCo/Jle/JVv/Jw/Jy/Jk/l:E/J9/JH/Jn/JeZM/JlU/J1/JI/Jh/Jsc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b838c7c7c7983839 |
|
VISUAL
aHash
|
df83838fffdfffdf |
|
VISUAL
dHash
|
20371f300e38301c |
|
VISUAL
wHash
|
8f81838f879fdf00 |
|
VISUAL
colorHash
|
070010080c0 |
|
VISUAL
cropResistant
|
20371f300e38301c,0000103030100810 |
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 198 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)