Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1405352716142093B864791D6A6359F8BF3C1D30ACA234E06B3F68B5E9FD7D20FD1A261 |
|
CONTENT
ssdeep
|
768:74fsCTkgKMdumYoGi8RXQ0guQhVTPs5OyVtHf+NrzGNt9Zs+GPTnZwbbQNKh2p+w:gsCT9KnmYoGsHTPs5OetHfNvo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dd827782dd82dd24 |
|
VISUAL
aHash
|
0000181818180080 |
|
VISUAL
dHash
|
4d70b2b2b2b29048 |
|
VISUAL
wHash
|
fdff181958780090 |
|
VISUAL
colorHash
|
07040007000 |
|
VISUAL
cropResistant
|
888ab2da9eba9696,4d70b2b2b2b29048 |
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 93 techniques to evade detection by security scanners and make reverse engineering more difficult.