Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T124B1541DB31C5A6E8A5750C0B8A8E7DB32849345F3D3015D34DE81EC1BEAD38E8B94D6 |
|
CONTENT
ssdeep
|
96:wECbqYPV5RoiBD//JVYKDxEJ1w6nIwH1iBuB1cgT4ywqircLlO9xnodNW0AIBiTg:Q5ZXJVYbw4P9DnQWFdNW0Aaqg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc339933339933 |
|
VISUAL
aHash
|
18183c3c38180000 |
|
VISUAL
dHash
|
f4f0f0f0f0f0d4d0 |
|
VISUAL
wHash
|
3c7e7e7e3c3c1800 |
|
VISUAL
colorHash
|
380060000c0 |
|
VISUAL
cropResistant
|
f4f0f0f0f0f0d4d0 |
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.