Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T189E100E0C515ED37475386C9ABF56B0B73D1C349CF420940A3F883AB9BDAC60DA255A9 |
|
CONTENT
ssdeep
|
96:TkcFSzeFvMSfuSTCctutQOSS8ct7tQTWNFquX6NwvFCe1XTz/nwYfYfGJ:QcFSzeFdjWcktQ0TQTWOGtzYsuA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2258d9907e666d9 |
|
VISUAL
aHash
|
ffdbe464fcf4fcfc |
|
VISUAL
dHash
|
b292adedadad85a5 |
|
VISUAL
wHash
|
7f0840647cf4fc3c |
|
VISUAL
colorHash
|
07000018200 |
|
VISUAL
cropResistant
|
b292adedadad85a5,0303030303030303 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.