Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CBE28331D109B93F0AAB63E0EB74A35BA3998389C943071A82FCC75D5FDBC50AD171A5 |
|
CONTENT
ssdeep
|
384:RzIIe8MzWIIIII9IlBaAAG8LIyuevSacb16yqTbeRqSARAQyMTpW:1IIbMzWIIIIIvcyueqlqTiRqlW5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e37d1c18396396 |
|
VISUAL
aHash
|
00e3e7ef3f3c1818 |
|
VISUAL
dHash
|
8fcfcfdbe5e1f0f0 |
|
VISUAL
wHash
|
00e3e7ef7f381818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ee9c988c0c,0000616961000000,8fcfcfdbe5e1f0f0 |
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)