Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T111634C309082943B519793C187B9977B23C2C285DB530B499BF8D36E8FDED82ED63259 |
|
CONTENT
ssdeep
|
1536:Ir+YGmmVVKML+d1nBKgMsqmInayqcAzwgB1PtALpnquVnS:XHm2VKM6d1nBKgMsqBnabcAsS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec3092bece98c9cc |
|
VISUAL
aHash
|
87c1d1c1f3ffc3ff |
|
VISUAL
dHash
|
298ea387e71b2700 |
|
VISUAL
wHash
|
95001001f3ffc3ff |
|
VISUAL
colorHash
|
070000003c0 |
|
VISUAL
cropResistant
|
298ea387e71b2700 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.