Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T197822171414AA12B133B49C8ECB25B1E74E3CB1DCD230C469ABC979FBFD1DA1AD1548A |
|
CONTENT
ssdeep
|
384:Rz1q0p/iwFjdK5YLlxHEnYzrpr3bn3glh8X7tl1O7f:pwK/iI2h8X7tlk7f |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c31c3c63c3dc9639 |
|
VISUAL
aHash
|
00003c3c3c3c0000 |
|
VISUAL
dHash
|
0c137169494945a3 |
|
VISUAL
wHash
|
0081bdfdbcbdc1c1 |
|
VISUAL
colorHash
|
06600008000 |
|
VISUAL
cropResistant
|
74032a2a2c0e1815,0c137169494945a3,c8cce78894d65cb6 |
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 1558 techniques to evade detection by security scanners and make reverse engineering more difficult.