Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1255332316102441BD67781C5E7652B4AA2C7F31ACA120C89FBE9837BCFDBD21FD2A254 |
|
CONTENT
ssdeep
|
768:6E+dJSt6EgsbAB8XzmeR2/7T1JrSS21rfn9ZFdAbb8n/y9zjoZju+PPkAy2r9SYY:61Hm6EfbAB8Xzm4kT1JrSS6rfn9DfleF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f9fec88196058d71 |
|
VISUAL
aHash
|
ffc980828c3808fe |
|
VISUAL
dHash
|
2113124c1af2d2d0 |
|
VISUAL
wHash
|
ffc1c0828c3868ff |
|
VISUAL
colorHash
|
06006000040 |
|
VISUAL
cropResistant
|
2a33131313120646,12460c1a72d2d050,c71c7061c3860c18,0c1c3860c083070e,300000e0d03a7cf9,71e3c213b94c4a49,000021ccc4c42200,1312461c3af2d2d0,5773333b3313730f |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.