Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1030264E1D050DD360B1681C5E7B67F2B7664C346CB430A5463F8936BABCADB1CB2158C |
|
CONTENT
ssdeep
|
192:QoO+inbzH715iUhdIMnawkYEUXbIMnqOIMnnOIMnnr8F:QoO+0b1h+MnawkJMnq7Mnn7Mnnr8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a37608fc03fe02dd |
|
VISUAL
aHash
|
c3c3ffe7c3e7ff3f |
|
VISUAL
dHash
|
0e0e080e164e00d0 |
|
VISUAL
wHash
|
03032703c3c3ff3f |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
0e0e080e164e00d0 |
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.