Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T196C141736014C92E5EAAD28DF7C1F59C5297D25AE63094C7B1D4606FAAC0EF4C0A236D |
|
CONTENT
ssdeep
|
96:2XigXsXXwXsyXRCeYoqG7aR1sYYfMmORR1E8VConG1mW7YSnkl:wiS4iRzYoJodYfMmUU8VCoxv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c4793bc4387f8474 |
|
VISUAL
aHash
|
000000007e7e0001 |
|
VISUAL
dHash
|
0000802ba4e46b95 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
0000802ba4e46b95 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.