Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T124E2967161007B3B41A792C6B391FB5A63F2C34AD34A042652FD872D5BE3E50ED2736A |
|
CONTENT
ssdeep
|
768:6ApDOBE6mq5Qsqms2QJFW7sOy2+y9BH4c1Ie:6AQBjGza7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d343f81a9d6996c1 |
|
VISUAL
aHash
|
000020000004ffff |
|
VISUAL
dHash
|
98c8c8caec0cc300 |
|
VISUAL
wHash
|
006470303e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
08324c4c4d4c3204,0080800058988000,9888ccc8d0cc3cc3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)