Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T185E2D73281197E3F0297A2E1BB75A35EA3864389D983076902FCC78D1FDECA0DD17495 |
|
CONTENT
ssdeep
|
384:BXLI9f8eEIIsfEIIIII94lBqaTADPawrCRYh4kv2Tc7yyqjA7ilCclOOK+5ohb4u:SaIItIIIII1V0Hlo+7u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83e37d0c9c396396 |
|
VISUAL
aHash
|
00e3e7ef7f381818 |
|
VISUAL
dHash
|
87cfcfdbe5e3f0f0 |
|
VISUAL
wHash
|
00e3e7ef7f381818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3d3d2ec9c988c8c,0000616969000000,87cfcfdbe5e3f0f0 |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)