Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182C2B931B1046A3B51D7D2C9F322B32EE6A29349D6870915D2FD839D4BE3D54CA3353A |
|
CONTENT
ssdeep
|
768:1Scy5NUimOPpj+AdEt37sOy2+y9BH4c1Ie:wmOvEt37sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363b83add0ac7c1 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
948ccee2c0cdd100 |
|
VISUAL
wHash
|
00e7f0702024ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
c08080024c888000,940ccec2c0c8cdd1 |
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.