Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13F737130A4109A3B00D786D9A671676AA2E88348D623068DFBF9C3FD5FDBC19DE37114 |
|
CONTENT
ssdeep
|
1536:e4444OsIxEXjTADzXcry+dFYvuZIB67Csm:Bxsry+dFYvuZd7Zm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a92ad53a30de1cec |
|
VISUAL
aHash
|
03030303030fffff |
|
VISUAL
dHash
|
ffdfffff7f7f02aa |
|
VISUAL
wHash
|
07070303030fffff |
|
VISUAL
colorHash
|
17000000680 |
|
VISUAL
cropResistant
|
ffdfffff7f7f02aa,1f6f6f7f7f6f6f3f |
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 51 techniques to evade detection by security scanners and make reverse engineering more difficult.