Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T119A2C93250482A3F5267C3CDB761F72EE0EB9249C79A181966FC075D8BE6E90DD1321E |
|
CONTENT
ssdeep
|
384:rCy5Nqin3V7sBUv3Z1+H21JGIIIRPLqRnLwO/ZpDoYa/6/xjESZcPkzIYsOy2+yv:rCy5NqiF+H21JGIIIZLEnkO/Zpxa/6/N |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
820dbd32d56d92cd |
|
VISUAL
aHash
|
000020200004ffff |
|
VISUAL
dHash
|
9ff7c3c3c54d5300 |
|
VISUAL
wHash
|
003339703007ffff |
|
VISUAL
colorHash
|
39c00010000 |
|
VISUAL
cropResistant
|
fffff9e9f9f9bfff,0080801858808000,8ff7e3c3c3cdcd43 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.