Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T166B14373A110C92A5EA7E64CEAC1F1CC5259C216F63088C672C9A16F6FC0EF494E233D |
|
CONTENT
ssdeep
|
96:ZYkHN/8OeHNOOdHN7CwX4aR1sYE/fMmORR1E8VCon5GPe93UV1l:ZYkHN/8OeHNOOdHNdndE/fMmUU8VCoor |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8cb3e471047d4b5d |
|
VISUAL
aHash
|
02ffff1e0000003a |
|
VISUAL
dHash
|
96f979f0f079f6e4 |
|
VISUAL
wHash
|
4effff3f0000007e |
|
VISUAL
colorHash
|
02006000000 |
|
VISUAL
cropResistant
|
9193930180808848,5353c8dc538b4d60,bafffffefefffffb,96f979f0f079f6e4 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)