Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17FB2E92270509D3A801B97F573D5975333A6E345C9461388C3EDC3FE0BEACA0FA16656 |
|
CONTENT
ssdeep
|
384:bAAxDRzelXZo5ysKCgxqb3WKZR1mxyrs3rDB0avQkQ:DxDeLC5ZRYxCs3rDkv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9696696d32e94d49 |
|
VISUAL
aHash
|
063e3e0e061eff20 |
|
VISUAL
dHash
|
8ccccccccc2ccacc |
|
VISUAL
wHash
|
063e7e0e0e0eff30 |
|
VISUAL
colorHash
|
0201e000000 |
|
VISUAL
cropResistant
|
5b5b27e662f80d36,1252edb569296868,5252a54c250c2a27,4004912e2e510068,8cccccccecccecec,fcd4d8c8c8e4c9fc |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.