Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T144F2A53DD245A83F06A772D1AA24736972868ECEE843233542FDC72D5FD6D98ED021B4 |
|
CONTENT
ssdeep
|
384:HbsbswIIQtyKIIIII9tlB+LSLkABuLrMH2dW/OH4LawjJrtUaRpW:QIIQt/IIIIIvkDLr8qW/OH4LaItve |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8ee7791c8c1963c6 |
|
VISUAL
aHash
|
00c1ffff7f181818 |
|
VISUAL
dHash
|
d78fcbf3e5f3f0f0 |
|
VISUAL
wHash
|
00c1ffff7f181818 |
|
VISUAL
colorHash
|
19038000000 |
|
VISUAL
cropResistant
|
f3e3d3ca9d988c0c,000030323a100000,d78fcbf3e5f3f0f0 |
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.