Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T166B263F59685181F2683A1D55562BF2162C3C067E246867623E546CE2ACCFF0E8CE37E |
|
CONTENT
ssdeep
|
384:7Ep4M28QcaU3UJ5UM5UiLSwmqKYh9TCTvCGk1oO3fiwq0jCKKzIy:Yp4PBSI97EqjhqLk2O3fiwq0B2Iy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93ad4c17ed0d170d |
|
VISUAL
aHash
|
18ffffffff000000 |
|
VISUAL
dHash
|
e8179210d8e8f0f0 |
|
VISUAL
wHash
|
00ffffffff000000 |
|
VISUAL
colorHash
|
060000003c0 |
|
VISUAL
cropResistant
|
f1f0eaeaeaaa6169,0612121212121050,b23373726e525272,f000202020000000,69418e2061691620,e8cce8f0f0f0f0f0 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.