Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T155720F7255458D2344D3E2D1F233E71BA9C1C386CA870A8263E9975E6FCBCEADD90358 |
|
CONTENT
ssdeep
|
192:eLrUOk1P+uBUs44vRlP4HqfJtnZkcnJtSaz7YK+r6ORJoTgKo2:p5ltnCcnJtX7YK+VKo2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9bb1314e5b4c33e4 |
|
VISUAL
aHash
|
1c3cef3c3c3c3c1c |
|
VISUAL
dHash
|
7079197169696179 |
|
VISUAL
wHash
|
1c3cef3c3c3c3c18 |
|
VISUAL
colorHash
|
070022000c0 |
|
VISUAL
cropResistant
|
7079197169696179 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.