Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15DC241309154683782D3C6D4A2716BAB73C1838DCB234B85BBF8871E6FD7CA5DC66249 |
|
CONTENT
ssdeep
|
768:AXjP+oOUwPIyuvpSQcmou2Y0+bZ0wKNvayUS97cUf79F:XY0+bZTKNvayUS97j79F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed8a92c9c93a1ce3 |
|
VISUAL
aHash
|
fde38381f191e3ff |
|
VISUAL
dHash
|
2bc7232232274f0e |
|
VISUAL
wHash
|
fde181819181e3fe |
|
VISUAL
colorHash
|
06400038000 |
|
VISUAL
cropResistant
|
2bc7232232274f0e,46434347c7931b1f |
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 67 techniques to evade detection by security scanners and make reverse engineering more difficult.