Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11323D63204C46B6B41C383C5B321BA4BE3D58248F676EA4FF5EA831F56C5D58C836B69 |
|
CONTENT
ssdeep
|
768:GYAUhxPKMNw0sfhQrAkN9GO/+HourSkx5++84LddhG4H6EJUT:GYAUhxPc0spQrAzO/+HP7xVrhG4H6EJM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9414ebcbcaea8696 |
|
VISUAL
aHash
|
fd0006060606fffd |
|
VISUAL
dHash
|
71ccecccecec3169 |
|
VISUAL
wHash
|
ff0606060604fffd |
|
VISUAL
colorHash
|
130000001c0 |
|
VISUAL
cropResistant
|
000149616149014a,96d6e8b284710f8e,c03030012969296b,ccccacccccecccec,0808183838383c1d |
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.