Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D973747612426A3F109382D18B9CE35AD7C2D60AC7A7498AD7E8835F27CBDE0DD351B4 |
|
CONTENT
ssdeep
|
1536:YM4pBeRDc520f4P3o4gyv0AIGaFJfY0hxVuz8e7:OcyY+J3G7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e840a6be166eb6b2 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
84d383331433270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
21da98d9d1d9989a,1a1b8b2a55d0e4cc,38789d9c8c8c8d8f,b032739595494b43,82a28ecccc8ca282,8512382727000f0e,8483f3d38b2b1393 |
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.
Pages with identical visual appearance (based on perceptual hash)