Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T178C29631B110773B11C7D2D9B362E31AA2E3834ADA560415E3F983AE1BE7D54CE73526 |
|
CONTENT
ssdeep
|
768:uScy5N3bQ83Mvxg24PdVJ+H7sOy2+y9BH4cLIe:P3tMH7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363b41adc29d3a3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1ccccac2c8cdf300 |
|
VISUAL
wHash
|
00f7e0302034ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
008080024c888000,9c8ccec2c0c9cdf3 |
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.