Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16FF113E1D044DC3B131385E5B7B5675F75A6C345CB020E8863F863EA5BDBCA0CA23A99 |
|
CONTENT
ssdeep
|
96:Tkf87kh4lzH0XfeGnVD8gVDiC9wvF4e5X2HFde9Xyz//VDVfQPJ:Qf87kh4lzH0X1nCg0CkgKcz3ffQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7c398386f653c38 |
|
VISUAL
aHash
|
7c7e207000000000 |
|
VISUAL
dHash
|
dcd4c6c848114462 |
|
VISUAL
wHash
|
7eff7272040c2e08 |
|
VISUAL
colorHash
|
00000000007 |
|
VISUAL
cropResistant
|
f0d4aa8e698ecce8,4666a84b5a9a4a4e,8080808080808080,8080808080808080,dcd4c6c848114462 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)