Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1117343B611526A3F218342D1D31CE359E397E60AC7A74947EBEC432B27CADB0ED36164 |
|
CONTENT
ssdeep
|
1536:+Zy+mD2DcS20q4EpWjLyP0IIVG8RX6Q0NxVuz878:8YMIHkXMv8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e840869e366eb6b6 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
ccd383131433271c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
21da98d9d1d9989a,2939dbc5ed4bd7db,38789d9c8c8c8d8f,b032739595494b43,82a28ecccc8ca282,8512382727000706,84cbf1d38b2b1393 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.