Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A4138470618D367711D382E6B7211B5EF3E6824CD627AA19A3FE838D0FD6C11FC26169 |
|
CONTENT
ssdeep
|
768:q0agNV3A9INnAeyJSc2KugGA1/ZmNC41wwP85I/rFjFES6SNbC0HlpV58AdjBWBx:7K2nA0dVluMNnis3/JRE7N |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f9c99696614d319a |
|
VISUAL
aHash
|
ffcfcbc1c9cfffc7 |
|
VISUAL
dHash
|
829c9a93939c230e |
|
VISUAL
wHash
|
60cf8bc1c1cfc3c3 |
|
VISUAL
colorHash
|
07010000002 |
|
VISUAL
cropResistant
|
829c9a93939c230e,1e1b2b5b5b597939,4541a7c8d8914d45,5f6c258c6e59cc7f |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.