Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17E13D77310C5657F538393D963205E5EF3569249C3B73A0DE0EAC3275B82CA1CC9EA68 |
|
CONTENT
ssdeep
|
768:DJGgPQeRmE12yLrC4z6QTq6x/f8591k5cHdFda1OpYfGrnVFm6qv:DJGEQeRmE12YrC4OQTq6x/kpk5cHdP/M |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9414ebeacbcaca92 |
|
VISUAL
aHash
|
ff06060606fffffd |
|
VISUAL
dHash
|
51acececec6c2933 |
|
VISUAL
wHash
|
fd060606061cfff9 |
|
VISUAL
colorHash
|
0e0000001c0 |
|
VISUAL
cropResistant
|
0001416969410162,96c6e8c496694d8e,8020250c694b3333,8c8cecccecececec,5363737339394357 |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.