Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B5E122E1D044DC3A135386E5F7F92B5F7596C345CB020E8853F853EA5BDAC60CA23A99 |
|
CONTENT
ssdeep
|
96:TkfH7kh4lzH0XfeGnVM8KEPwvFdSe2CXQHFr8ekoXdz/BVMGYQPJ:QfH7kh4lzH0X1nnKEq12jR/zphYQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
84394444bbd47b7b |
|
VISUAL
aHash
|
0000dbff00007eff |
|
VISUAL
dHash
|
ccb233000ba4ac40 |
|
VISUAL
wHash
|
0000ffff070076ff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
808a333300320848,acacaeaeac118000,05a480a280aa2333,03210115916b6971,8451ac8cacaeaeac |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)