Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10C51763A4110DC0F57328675FC837684C0DDD20FC556ED58B35C12A61AE6EE4C8B35A2 |
|
CONTENT
ssdeep
|
48:TGiNZwlsMgC4mynE0DmynXrDhiwtRmynlXrXQ5B3+RQd0QFf+gwiqaPjKIIjL:TGHahEahXrliGRhcB3+63egbKIML |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a8506871723ff4ae |
|
VISUAL
aHash
|
0000ffffffff83ff |
|
VISUAL
dHash
|
82b29618e8575725 |
|
VISUAL
wHash
|
0000f3ffffff0101 |
|
VISUAL
colorHash
|
0e1c0010000 |
|
VISUAL
cropResistant
|
b69619c5c8577765,008292929200b2b2,672723333735754d,1155656565656b4b,656565092a2f6766,a4eced53ab2b3317,9a9953434a475404,72525b4b4b495a60,e9695595b5d5ce49,e6e2eb4b5a5ab9ad,a52545697414ce2b |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)