Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12202D67163615D2E9053C3E4FBB8BB6B21D9934FD65B0249E2EC827697C6C06FC32294 |
|
CONTENT
ssdeep
|
96:J4emxP3ItLFz2TLZTDA0FbNkLaj7EmTcSVH61uL/98aKyhf7:J4jINFz2TLhD3FbNkuXEmTHH61uQm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e767e3081cb5b918 |
|
VISUAL
aHash
|
6060c30618ffffff |
|
VISUAL
dHash
|
c4c8022e32b3484c |
|
VISUAL
wHash
|
0060c30618ffffe7 |
|
VISUAL
colorHash
|
070000084c0 |
|
VISUAL
cropResistant
|
0002c2c282000100,c4c20e6c338c4a4d,db4404c4c8c9c9c9,a5b5b1b1c3434a9c,cced71d5cd521a0e,2bbef65656763ba9,a3a32da5ab69c6d6,8111050505858505,c6cb932325054144,2b2b4d5d554ccde4 |
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)