Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T148235A726332B87843DB91EEF7382946B2D2589DF9C74554F1C95A8D23C3C812293BB4 |
|
CONTENT
ssdeep
|
768:ag+EsZx8/G8I54GDawAdMDBawGMDBKwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqf:ag+EsZ/8I6GDawSMDBawGMDBKwZUXx+x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a1aece432b3e564 |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
6968702878060000 |
|
VISUAL
wHash
|
3c18000c00ffffff |
|
VISUAL
colorHash
|
330060000c0 |
|
VISUAL
cropResistant
|
0000080c0c0c0008,a203450cb4b4538a,2000000000000000,6869697870696930 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)