Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T158B3A7727119743F239786E4B726676A719AC24ACD82078687FD83784FB7CA0FE17448 |
|
CONTENT
ssdeep
|
3072:6cYwprqGKKrqGKpK/6qpK/6okpK/6qjqkFUYwZ:sjqkFI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb3bc6d2c8cc388c |
|
VISUAL
aHash
|
ff8783878787ffff |
|
VISUAL
dHash
|
311b1b1b1b1f6c42 |
|
VISUAL
wHash
|
9d0101838187ffff |
|
VISUAL
colorHash
|
06400010000 |
|
VISUAL
cropResistant
|
311b1b1b1b1f6c42,4a6220342523d3d3,4ba3d84cc80a4bdb,61213737270b2d47 |
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 85 techniques to evade detection by security scanners and make reverse engineering more difficult.