Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14C934CA43658F6765AB343A350AF1103B339113F540D4D20A350FDAE76ADC9EA0ABFD9 |
|
CONTENT
ssdeep
|
1536:AOM/PSXTvGvOrZarJHLtol1h+ClUHqljEAwLhCJpvvGejD2d:bVvhKt6AeUKld5vid |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b4cb499481d2daed |
|
VISUAL
aHash
|
ff00044607060600 |
|
VISUAL
dHash
|
8a040d8c8eac2c93 |
|
VISUAL
wHash
|
ff80c4ef0fcf8600 |
|
VISUAL
colorHash
|
39001e00000 |
|
VISUAL
cropResistant
|
0000a0c0e0a00000,8cc8f3f2f879b9f0,8a040d8c8eac2c93 |
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 132 techniques to evade detection by security scanners and make reverse engineering more difficult.