Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E0238631628DA723063683D06353BFBBB3C49184E526CB8993FD439A4ACDDE0ED66517 |
|
CONTENT
ssdeep
|
768:gVIIjHJH/zqexeTWez9DZTLOLWZ9Wt97g+5EFjvRT:sIIj11Ctz9VOyDWUkEFjvx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4319b9b39cc8c66 |
|
VISUAL
aHash
|
efc3c3c3c3e7e7e7 |
|
VISUAL
dHash
|
168e16168e0e0c0e |
|
VISUAL
wHash
|
83c3c3c3c3e3c3c3 |
|
VISUAL
colorHash
|
06400048200 |
|
VISUAL
cropResistant
|
168e16168e0e0c0e,e0aca868446061d6 |
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 36 techniques to evade detection by security scanners and make reverse engineering more difficult.