Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19C421052F194623F578783E9D21433F9428B92CED6900AD874FF0DB87972DA4E40E9D6 |
|
CONTENT
ssdeep
|
96:6VawYv+gZFVC28KngD+1B4hSpbuShfsPFhfNhfsVyPPNEPPIPPHpPP0wQgf:6MXv+g5r8KV1qw3wDQM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c4983a636b3d8f62 |
|
VISUAL
aHash
|
007c7e3e703c0600 |
|
VISUAL
dHash
|
d4a0a2b2c9e4acd4 |
|
VISUAL
wHash
|
007e7e7e747c1624 |
|
VISUAL
colorHash
|
31400000002 |
|
VISUAL
cropResistant
|
d4a0a2b2c9e4acd4 |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.