Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1439364767155593F30AB87D17239FF2A31EA7089D80302A9D2F8C367B787CD4AA354A4 |
|
CONTENT
ssdeep
|
1536:lFyfv2QyKEIH+6KLga42uAHc2kN83ScdSK/oWCoE0fRCmyq5fxRIp+eGgh2y01nV:3yXpZEIHzjc84x+9E |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c1e65d3495b56196 |
|
VISUAL
aHash
|
0270706e0e600c0c |
|
VISUAL
dHash
|
86c1c4ccdcc39c98 |
|
VISUAL
wHash
|
6670767e6e606e0c |
|
VISUAL
colorHash
|
38e00000000 |
|
VISUAL
cropResistant
|
86c1c4ccdcc39c98 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.