Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14F234A726722B86883DB91EEFB382D56B2D1948DF8C74454F5C95ACD23C3C816287BB4 |
|
CONTENT
ssdeep
|
768:aF+EsZx8/G8fRF40Daw4aMLB+wZMLB2wZUcix+y9dQpUDF1E56ITmHDLBABW8KPS:aF+EsZ/85O0Daw4aMLB+wZMLB2wZUXx8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
efd490d5b190c5c5 |
|
VISUAL
aHash
|
8181818181818181 |
|
VISUAL
dHash
|
3161694949496949 |
|
VISUAL
wHash
|
ff81bda1a1a1b981 |
|
VISUAL
colorHash
|
31000008c00 |
|
VISUAL
cropResistant
|
3161694949496949,32e0c0d4ccc4d0c4 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.