Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F6D2D6233181347B0A5749D3F135FBECE26A9A4CC2B7009AB19D82D963D4CE4DA3B563 |
|
CONTENT
ssdeep
|
384:M4EPnex31yGgojoGyejqbPv4JaXtArZuYRlpk/bH:MuEGjceja4aXmVLi/b |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c798303ccd8bcb3c |
|
VISUAL
aHash
|
18003c7c383c0070 |
|
VISUAL
dHash
|
f0cce0e0e0c0c4c0 |
|
VISUAL
wHash
|
18787e7c7c7c007c |
|
VISUAL
colorHash
|
38007000000 |
|
VISUAL
cropResistant
|
f0cce0e0e0c0c4c0 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.