Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1296231728150763B4B83C2C46A32771FE3E281AAE9535B07A2F5474D4FCAE92DC91D1B |
|
CONTENT
ssdeep
|
384:OjCb7it1xSOGlXfj1II7BxL0zQI8knqr3:/iNVGrII7B90zQDtr3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eeec11c51235386f |
|
VISUAL
aHash
|
fffbf1f1f1fb0000 |
|
VISUAL
dHash
|
d80323236723a3d9 |
|
VISUAL
wHash
|
fef1f1f1f1f10000 |
|
VISUAL
colorHash
|
0e003000480 |
|
VISUAL
cropResistant
|
d8c32323276727a3,b2b2b39b9bb2b2b2,c4ba1aba80869480,0040802121814000,1981e199daa49696,c6cc59153627a6ae,fffffff6e9d9d9dc |
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 27 techniques to evade detection by security scanners and make reverse engineering more difficult.