Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14F337799995C5A731643C54A92E13B34D3A3AE01C34CDF8098FA8F6D0EB5D139B1E53E |
|
CONTENT
ssdeep
|
1536:TlM6gkMut7KHeDn9gBVT9IY1fnOJgyKUFqjIyRlK0699M/9CYG15Xbq:Trgs1KHYnoxMWIHM/D45XG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92c7417c2cb383cf |
|
VISUAL
aHash
|
0f0f2f0f1f0f0f07 |
|
VISUAL
dHash
|
ffffcc3c2bbcbcff |
|
VISUAL
wHash
|
0f0f2f0f0f0f0f07 |
|
VISUAL
colorHash
|
07200600000 |
|
VISUAL
cropResistant
|
ffffcc3c2bbcbcff |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.