Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T158935CF16540FD2302F354D2709B8646B37E460BA91A0CA0B6DCCAC973DB8E655376EB |
|
CONTENT
ssdeep
|
768:jT0TQH7YFanUxQ708fZHSSlCJyOqicgII/0w8kS2uu3C8oACGOO1zR19PbzzC/AJ:10QpSUqrcr47WJ+wdymzQ2N0msQw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7b6b51c303cb447 |
|
VISUAL
aHash
|
06ffff00202030ff |
|
VISUAL
dHash
|
9ccbc6d0c8c060c2 |
|
VISUAL
wHash
|
46ffff00203030ff |
|
VISUAL
colorHash
|
30000000031 |
|
VISUAL
cropResistant
|
9ccbc6d0c8c060c2 |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.