Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C44565BD6B420AFADD455ADCE8C14661259A902F26B983ECF71EC3337819CFD8870953 |
|
CONTENT
ssdeep
|
3072:VDIPRQMPRQfPBKM43/KAdSMOSczSwcm19XSMOSczK0zL/ycfyRc:tMSAdSMOSczSwcm19XSMOSczK0zLhyc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926ded12cd4d38c6 |
|
VISUAL
aHash
|
000000002404ffff |
|
VISUAL
dHash
|
24641bc5ed3d6d2a |
|
VISUAL
wHash
|
381800747606ffff |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
5a8dcd5e59149c58,edcd3d3dedcd222b,2420020bc5cd3d2d |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.