Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11473A47602026A3F109386D1939DE35AD3C2D20DD7A38A6BD7EC836FA7C6DA0DC35164 |
|
CONTENT
ssdeep
|
1536:T0af3aHDceX0T45civ3ym0K8GDp37F0txVuz8a4:NLxwt3mm4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e84086be166eb6b6 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
8cd383331433271c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
21da98d9d1d9989a,195951ad2d4acb6a,38789d9c8c8c8d8f,b032739595494b43,82a28ecccc8ca282,8512382727000706,848bf3d38b2b1393 |
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)