Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CEC2747261002A3F01A7C3CDB361B72EE2E2928DEB56091556FD935D4FE2E90CE17926 |
|
CONTENT
ssdeep
|
768:uxSCy5NP1zDWTT49J/ADocU5UFY97sOy2+y9BH4cLIe:PzgTd5UGo7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363b43adc69c3c1 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
1c49c2c0c9e99500 |
|
VISUAL
wHash
|
80ef3020340cffff |
|
VISUAL
colorHash
|
39038000400 |
|
VISUAL
cropResistant
|
0080802058d08000,1e0dcac0c0c9e949 |
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.