Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14DB26375314159BBA1CBCBF1B2A96B6BA1B6C789C9134746B3FC836957CBC509F02320 |
|
CONTENT
ssdeep
|
768:fsXV7Ct92UOGbsy0LNm6EpQopstLKoLoR6OQQm:u7Ct92UOGbsy0LNm6EpQopstLKGQm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8e9124732cd79adc |
|
VISUAL
aHash
|
00183c18183c3819 |
|
VISUAL
dHash
|
b4707170716960b1 |
|
VISUAL
wHash
|
5f183c3c3c3c3c39 |
|
VISUAL
colorHash
|
38608000200 |
|
VISUAL
cropResistant
|
b4707170716960b1 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.