Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15B3383A2B604DBF345C79EE4A892F7E598A5CB9FCB822681D1DF83C852C5C9DCD32401 |
|
CONTENT
ssdeep
|
768:STLVT7QdYdWiqBvC4lvxZ5VhVhl710ER7:SR7yJxDf7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9ab4395916577165 |
|
VISUAL
aHash
|
1c3c3e3c3c3c3c3c |
|
VISUAL
dHash
|
7971616161696969 |
|
VISUAL
wHash
|
1c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
07002000180 |
|
VISUAL
cropResistant
|
7971616161696969 |
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 23 techniques to evade detection by security scanners and make reverse engineering more difficult.