Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A2F15322E6542B1831DA8374FE31C7DBF31587C5D2090BE56BB9867EB88C1A4C93A5CD |
|
CONTENT
ssdeep
|
192:P+qUUOwwQkENQp6udNJeJkKsrjyRF61hNpk5RLWC:P+qUUw/NpkH6C |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b439306493c793cf |
|
VISUAL
aHash
|
c3c3c3c7fff7f3ff |
|
VISUAL
dHash
|
96969e160606060e |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
96969e160606060e,ffffbfa67dfefe7f |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.