Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14B73E8B2A568E93F124382D5A3766B2A31D79249EEC70204D3FE87B847EBCD5FC15460 |
|
CONTENT
ssdeep
|
1536:8MDE1AlO6JvylDu7dlFd9FFjwKWejMQ/2ukdB44QXLDPqG29j:8IE1A8u93FFjwejMINkdu2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96816b67499cb5c3 |
|
VISUAL
aHash
|
00047e3e7e261400 |
|
VISUAL
dHash
|
60ccfca4cccc28f1 |
|
VISUAL
wHash
|
3c047e7e7e7e1c00 |
|
VISUAL
colorHash
|
32400030000 |
|
VISUAL
cropResistant
|
8888d85818181818,cee0e0e0fcfefefe,e0747119712e0e01,0000000000000000,a5b595a5b29594b0,6669695e6c6e6e6e,60ccfca4cccc28f1 |
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.