Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A4E2A4319048A93F0AA773D1F7A1E36BA2C143C9E943476642FDC74D0BDAC90EE17999 |
|
CONTENT
ssdeep
|
384:YmtX6fIIVivIIIII9PlBVT0Ob1/lH4Y2CIReOpHfzdfbpW:btX6fIIaIIIIIQE1/pt2CIReOo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e3791c1c29e396 |
|
VISUAL
aHash
|
00e1e7ff7f381818 |
|
VISUAL
dHash
|
c7cfcdd3e5e3f070 |
|
VISUAL
wHash
|
00e1e7ff7f381818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3cacd988c8c,0000606868000000,c7cfcdd3e5e3f070 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)