Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T118E29531D109793F06A772D1BB74A35A73958389EA43072942FCCB4C4BEEC50DD275AA |
|
CONTENT
ssdeep
|
384:B/2c9jNIIstIIIII9SlBqa4UFYVkvDczWjAQbmK+5SlifiEpW:h2c9jNIIyIIIIIaIS5bv+4V |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e35c0c9931e796 |
|
VISUAL
aHash
|
00e1e7ef7f381818 |
|
VISUAL
dHash
|
8787cfdbe5e1f0f0 |
|
VISUAL
wHash
|
00e1e7ef7f391818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ee9c988c8c,0000616969000000,8787cfdbe5e1f0f0 |
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.