Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E554DD234259352A4037C3E420AA5B3BD1AADD8FFAE709410EDCD7F72AFAC90741B559 |
|
CONTENT
ssdeep
|
1536:0ui9tMbXlOJi55R+Ovn03W80H8ArXvUd0gAK6FyA0eiMBserTEIM1p3w7X5G1uz/:qMw5G829khJM+erTEIMbGIdK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
961c6d63c3c1d39c |
|
VISUAL
aHash
|
00003e7e7e7e0000 |
|
VISUAL
dHash
|
cb237cdccccc17cc |
|
VISUAL
wHash
|
00003e7e7e7e81e7 |
|
VISUAL
colorHash
|
07007000200 |
|
VISUAL
cropResistant
|
faec8caebab68c8c,0108304c4d0c0c10,d92b31ecccd4cccc,82c5cf9204b0b474,452549d5e5710145,1796ec6d6d6d6c91 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)