Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D8E2B6319119A83F0AA776D2E774A32A72C9838ADE430B7A42FC8B5D5FDBC50DD03495 |
|
CONTENT
ssdeep
|
384:1HIIcurIIIII9IlB97rbc93XMxj6iZjR14tM2yOgH/SCcBq1pW:VII/IIIIIUA3XMx2i14M2yOgSFqi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e37c1c3961c69c |
|
VISUAL
aHash
|
00e3e7eb3f3c1818 |
|
VISUAL
dHash
|
87cfcfcbf1e4f0f0 |
|
VISUAL
wHash
|
00e3f7ef1f3c1818 |
|
VISUAL
colorHash
|
31030000000 |
|
VISUAL
cropResistant
|
f3e3d3ca8d988c0c,0012e4ccd4400000,87cfcfcbf1e4f0f0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)