Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13DE2B5319019B93F4AE766D2A774E32A62898389DD430B6A43FCCB5D6FEBC40DD03495 |
|
CONTENT
ssdeep
|
384:19IIcQrIIIII9+lB9frbmf3XMfJ64/jRdivMIyOgBtUCetq1pW:jIIFIIIIIKM3XMfs4fMMIyOsUTqi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e35c1c3963d619 |
|
VISUAL
aHash
|
00e1e7e77f3e3818 |
|
VISUAL
dHash
|
c7cfcfcbf9e5e2f0 |
|
VISUAL
wHash
|
00e1e7e73f3e3818 |
|
VISUAL
colorHash
|
31030000000 |
|
VISUAL
cropResistant
|
f3e3d3cacd988c8c,0012e4ccd4400000,c7cfcfcbf9e5e2f0 |
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)