Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T123A3BCB1524054EF0BC3B8D0E5A23F5761B2C9EAE24B19CCA1B8588D1FC6FE0C5D66E5 |
|
CONTENT
ssdeep
|
3072:PGwKmcCQ8CMZz3JSUvC8GdEUIfk/g4UKNXfSnUTYR6h/97q4ebixV/8i2IV5uHmA:+wKmcCQ8CMZz3JSUvC8GdEUIfk/g4UKe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c4d438335ca357bc |
|
VISUAL
aHash
|
3c7c7c7852210310 |
|
VISUAL
dHash
|
d4c0e4e2b4c74b31 |
|
VISUAL
wHash
|
3c787e7afe610301 |
|
VISUAL
colorHash
|
000410000c0 |
|
VISUAL
cropResistant
|
e8e8b692a64a4a6d,96d8fc1090fc9012,b292d25353d292b2,1a5ab4f48662f296,808082aeac8280b0,ccb2a28864dacae8,d4c0e4e2b4c74b31 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.