Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T198D2883271106A3721B7D2CAB7A2F72FA2E3920AD7860414D2FD43AD47E6D54DD7311A |
|
CONTENT
ssdeep
|
768:jSkZ0FdY8f9kaZ3pnV7sOy2+y9BH4c1Ie:ydbrnV7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c622bd6dcd4692b2 |
|
VISUAL
aHash
|
000004200000ffff |
|
VISUAL
dHash
|
ccc8ccc4c0e0cc00 |
|
VISUAL
wHash
|
00006e7c3838ffff |
|
VISUAL
colorHash
|
3a000000230 |
|
VISUAL
cropResistant
|
8880800458988000,ccc2ccccc0c8e0cc |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.