Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15B732122780E552FB247D3C1A1F4FAA7DD51CD1ADE300E01DAB69FCACA91F22B675118 |
|
CONTENT
ssdeep
|
768:lhCnmXo4VYfJtLr3rddh5V40gwsE0ZLYfAMunAwgaGus7:Snz4V5s7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c1e12a3596de72e1 |
|
VISUAL
aHash
|
0043e9feff000000 |
|
VISUAL
dHash
|
c4939320a293692d |
|
VISUAL
wHash
|
0463fdffff401801 |
|
VISUAL
colorHash
|
38200030000 |
|
VISUAL
cropResistant
|
18fcceb0f0f37cf0,5e26c6d938a4859b,f1e17d9c3caee7ce,1a1ac5455a5c65da,c9c9c9c1e0284d99,8c7cb0303c9193d3,c4939320a293692d |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.