Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T156F2D7720444353B42A7C1C8D260B76EE3D6C04CDF469BD0A3F987BD9F82EB1B962219 |
|
CONTENT
ssdeep
|
768:cu1uJCDFpSYVXvlDqYskj+z0XwGwUNZue12d2x:ceVRpSOXvlDqY4z0pwUNZh2W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f819ace242e5ad1d |
|
VISUAL
aHash
|
0000080000ffffff |
|
VISUAL
dHash
|
c3383a9cdc1f162f |
|
VISUAL
wHash
|
20080ec400ffffff |
|
VISUAL
colorHash
|
03048000400 |
|
VISUAL
cropResistant
|
8031cad4d4b49a45,809898b8e1cbd2ca,2ecc8ce1a66666e6,64aaaba8aae9e993,909cd81f1e16170f,c693b192b3d3d9d9,82aaa3272b2b2b2b,42a038383a9c9cd8,08204c4c4c0c2001 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.