Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T137C371D56628438CA047CAADEF2FFE05131FB1AABA598580294EC26CD5CF8D1F71752C |
|
CONTENT
ssdeep
|
1536:aY0RQ7Hk+c+SVm5kCchztsHKbOlFsR8MLqcobFsR8MLqcMv:J0RQ7HvcTVm5kCchztsK1m |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b7e362a662b61949 |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
0c0c140c08003110 |
|
VISUAL
wHash
|
e7e3c3c3e7bf0000 |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
0c0c1c0c0c086061,0008101010100800 |
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 83 techniques to evade detection by security scanners and make reverse engineering more difficult.