Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E9A34BB03A58B5665AB343D710EF21037279562B940F4C207354ECEE73ACC9AA467FDA |
|
CONTENT
ssdeep
|
1536:yXFfbsQmlo2h2wV9LHd8tVPTMn57BAEuW8Fuz8k:yXjUMAL98n0AI8Fg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec6496c3311adb1e |
|
VISUAL
aHash
|
00f3c3c3c3ffdfdf |
|
VISUAL
dHash
|
2626269696423636 |
|
VISUAL
wHash
|
00c3c181c1fbcfdf |
|
VISUAL
colorHash
|
06400000006 |
|
VISUAL
cropResistant
|
a6a6269692423e32,000002d5d54d0200,a665e7c5d5b6d8d8 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.