Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15261D8FA44586CBFC102D39C6774F31A1667C147CA990E40B5DC5BAD67C3AD9CBA0889 |
|
CONTENT
ssdeep
|
48:T+pKcCUv5oBAmQn1hitnkXjr+7LMPGbZEQWdFdRZiGXGf+GzG1c0:TRblqUk3+nMPXLF6F0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ebed2cd7160e1303 |
|
VISUAL
aHash
|
00e3c1f4ff3c3800 |
|
VISUAL
dHash
|
62075745c85171c1 |
|
VISUAL
wHash
|
00f3c1f1fffc3c00 |
|
VISUAL
colorHash
|
02000000180 |
|
VISUAL
cropResistant
|
8113525254d45470,f1f1e1c3a33f5d1f,fc00304809282e4e,5d65a02121323233,62075745c85171c1 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)