Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17ED29371E050273B125B83D9BB42FB2BA2D78249DB47080593F8876E8BE7E50D91353B |
|
CONTENT
ssdeep
|
768:z6Sky5NYrKPEbCprEeL50fL8AT7sOy2+y9BH4crIe:6KPazwk7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d363f43a9d299c82 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
98cccccacc2c8300 |
|
VISUAL
wHash
|
00ee7c600e00ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080900458988000,90ccccc0cacc0c84 |
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.