Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FE73837202066E3F108786D2876CEB59E386D20AC7A34996D7E8835B67C7DF0DD361B4 |
|
CONTENT
ssdeep
|
1536:qK4Zx4BDcleG0747teckyva0CSGwNTTAe0JxVuz803:/Ny/RK8TMFE3 |
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,1adbcb74757d7193,38789d9c8c8c8d8f,b032739595494b43,82a28ecccc8ca282,8512382727000706,84cbe9d38b2b1393 |
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)