Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T170822D21A944DC1A81DFADC896B3562621FA8345C21316C8FE7AD7FA57AFC6CDB37010 |
|
CONTENT
ssdeep
|
192:UgYsHjCd4OcO0iVZjqTSQVsW3h/jei6WsrCEQdExNUhSPzxr:UNsJO5xVZjqTS0x6i6/roUa87x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d8587674cc747459 |
|
VISUAL
aHash
|
009d1c3c180000ff |
|
VISUAL
dHash
|
1331b030b28e9ec2 |
|
VISUAL
wHash
|
809d3c3c7c4042ff |
|
VISUAL
colorHash
|
07006008000 |
|
VISUAL
cropResistant
|
22220224c179311f,ea76a29ea9a9b692,9282029282808080,0505050505050505,0040465656464640,33b832b0b28ebe86 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.