Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AF428333E600CD2A4D9FA5CCF6C09689415AD346FB3149CA75A091BF7BC4DF029A63AD |
|
CONTENT
ssdeep
|
192:y33JIYcmczchjPpar/Iar/exg8McnthWeNWbJM9fMmUU8VCoWWh:scmczchjPpOwODVM9fMmUFCoNh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a8a797d35848cda6 |
|
VISUAL
aHash
|
ffffff0000000000 |
|
VISUAL
dHash
|
ffcf57b30d10aaaa |
|
VISUAL
wHash
|
ffffff00c1d84000 |
|
VISUAL
colorHash
|
03e00000000 |
|
VISUAL
cropResistant
|
ffffffcfcd0732b3,c2c0b0d2f280f0d2,46a6b28d67736272,d6d892ad8c339cdf,031d328489db9ab2,382a46d0d2864d6a,0cbc346edd9290d1,37b38d181084aa38 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.