Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T134E2C6329045683F07EB62D1DB70B35973DA438AC9430B2A82FD874E1FEBD90DE564A5 |
|
CONTENT
ssdeep
|
384:ujxPSrvr1GWJlHoxu8JSdp23OF+khIIoRIIIII9sGlB8fx0y8xOyx7qwny02zKp0:KMLIIoIIIIIuZ0yIB7zy9OG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e37c1c1939c696 |
|
VISUAL
aHash
|
00e3f7eb7f3c1818 |
|
VISUAL
dHash
|
87cfcfdbf5e4f0f0 |
|
VISUAL
wHash
|
00e1f7ef7f381818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
a7e6e6c48c989819,0011c0c4d4c40100,87cfcfdbf5e4f0f0 |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.