Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14112BB32B4447E3B028753E133A6671AB3DAC349DB236A05D7F0C7641FEAE658E03215 |
|
CONTENT
ssdeep
|
96:cUOyoFiRG7PoCx/eSZSZSx3ji0IRG00O0huUb7KvV9K22xO0SjELO0ziIm1JnUAX:ZDGiRDC5IIcATbSImTgM4hVsKY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
899c736633339966 |
|
VISUAL
aHash
|
1818181818180018 |
|
VISUAL
dHash
|
b2b2b2b2b2b28fb2 |
|
VISUAL
wHash
|
18181b1b1fdfc359 |
|
VISUAL
colorHash
|
010100000c0 |
|
VISUAL
cropResistant
|
b3726ad6717998e4,8080210101014101,b2b2b2b2b2b28fb2 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.