Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DAF2F730A5C8393E516B1BC4E039771671CAA30BD2C183B977F5A7BC47C9DE6AC8059A |
|
CONTENT
ssdeep
|
384:E3LJbYGbHzqo9ow1f8SpvXpRnmHPLu2M189u1+5p1I9yuuS7R/8hn/V5PGRXR0PB:YbLzqo9ow1bcPWI9Z0B7cJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e020af6a1f599d55 |
|
VISUAL
aHash
|
0001000000ffffff |
|
VISUAL
dHash
|
c7c7c49aa5951478 |
|
VISUAL
wHash
|
0163600040ffffff |
|
VISUAL
colorHash
|
06000000c00 |
|
VISUAL
cropResistant
|
d3d3c3d3dbcbfb7b,666eeb9b3767caf2,c9293962665d8c6d,51953594d4683b74,d74787c4c49a82a7 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.