Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12192B7A2F1083D7B06934392FB246346BBD54208CE92278EF5F9C21D5AC6C99DD7236D |
|
CONTENT
ssdeep
|
192:cOXyEaV6RsoP4b9XgIRwXf3Vy67OUscznYuAb6IaAQRVTTrVzkobxfc64++WqZGl:LXNaYsoPqAXhzsG3vhzHdf1qZGJyI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be61596732531947 |
|
VISUAL
aHash
|
00ffdfefe7ffffff |
|
VISUAL
dHash
|
0726332b2f376038 |
|
VISUAL
wHash
|
00838f83a783bf9f |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
0727332b2f376038,000000232323c000 |
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 947 techniques to evade detection by security scanners and make reverse engineering more difficult.