Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CFE2A973A150673F01A792CAF391A75A63F2834FD349051262FD872D4BE3E50E92726E |
|
CONTENT
ssdeep
|
768:FQe5AifSeDUqbB0RRW6QGmMJglM7sOy2+y9BH4crIe:TAde/cxZ7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c340f83abd6996cc |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
98c8c4c8ec0cc300 |
|
VISUAL
wHash
|
006478680e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04324c4d4c4c3204,0080800058988000,d8c8c4c0d8ccecc3 |
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.