Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T189A209B062B9236E568783F5A55B73E821AE651FF2738050E6FC02B957CACD2FD23540 |
|
CONTENT
ssdeep
|
384:MCQS10l8Q8WE898GDJVAFZnuyr17ppS/BHYO86tM75/+ATcf2W++TaXv:MC+lPNEsPDTmuy57ppS/ZYOIcf2W+++f |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e72d65639a989a98 |
|
VISUAL
aHash
|
c3c3dfffe7e7e3e7 |
|
VISUAL
dHash
|
0e06b82c4e8c4e4e |
|
VISUAL
wHash
|
0f030383e3e7e3e3 |
|
VISUAL
colorHash
|
07200000006 |
|
VISUAL
cropResistant
|
0e06b82c4e8c4e4e |
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 50 techniques to evade detection by security scanners and make reverse engineering more difficult.