Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T171C31E306420A83A00DF7AD5E5B5531AA7A2D30ECB5703D9F2F4C3684FDEE5DD962648 |
|
CONTENT
ssdeep
|
1536:+/sIxKxr+A3gyPYm4aCuMarZMpUNDlerPweIGIrnaGa09GasGaoGgwU5fjCRFT6H:+/crhYm4darG+V3YtRQ1NgWUsyQ7SMB5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83f4f817610679c7 |
|
VISUAL
aHash
|
ffffff0300001fff |
|
VISUAL
dHash
|
c801facfde7ffd0b |
|
VISUAL
wHash
|
e0ffff0100001ff7 |
|
VISUAL
colorHash
|
07c00000002 |
|
VISUAL
cropResistant
|
0000808080000008,23aacfc7db7dfd0b,484805c8c8024848,bbe265656d3f3f67,0b292c3569e969c9,9949696953513131 |
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 40 techniques to evade detection by security scanners and make reverse engineering more difficult.