Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17D1242E1D428DD36071286D5B7B67B2FB7A1C749CB020E9063F4836A6BCECA1CB1149D |
|
CONTENT
ssdeep
|
192:QzTITU4TZY+gZgZ++nzYhhjAl8iI4tyV4igZYMlJ6LzoWlU8F:QnCvY+ww++zGjM17te4iLMlJ5Wa8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b030cdcfc7cc88e6 |
|
VISUAL
aHash
|
ffc7c7c7c7ffff7f |
|
VISUAL
dHash
|
009f9f9e0f400cd0 |
|
VISUAL
wHash
|
00c1c0c0c0fccc0c |
|
VISUAL
colorHash
|
07001440040 |
|
VISUAL
cropResistant
|
009f9f9e0f400cd0,72f7b3b0ace49edc |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.