Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DDA2C772A1909E33416796E5F7E8971B51E6C249CE420245C3FE83FE07EEC94FE1A950 |
|
CONTENT
ssdeep
|
384:Rxq374CalXYvV2/GV6QvNIIII5EJAofBhhQ:Rxqr4CzfsQ1IIIyEdhK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bd3a41e9c78ac968 |
|
VISUAL
aHash
|
19060f9fbbf3fffe |
|
VISUAL
dHash
|
733c3c2c67d337ea |
|
VISUAL
wHash
|
19060f0f3b331b7e |
|
VISUAL
colorHash
|
071c0000000 |
|
VISUAL
cropResistant
|
733c3c2c67d337ea |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.