Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A21286745238A93751BB86E5F2E51BEB32D7C349CB07135046BDC3A807E6DB8DD0A4A2 |
|
CONTENT
ssdeep
|
192:LauJ8B2TJm/przKhSL0dSNHXiFh20nxNNibODPDdJX:LCem/pvKECc3QdnNKOXdJX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ccc43333cccecc33 |
|
VISUAL
aHash
|
1818183818181818 |
|
VISUAL
dHash
|
3032b2a232323232 |
|
VISUAL
wHash
|
fe3838381c1c3c3c |
|
VISUAL
colorHash
|
38006000200 |
|
VISUAL
cropResistant
|
3032b2a232323232 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.