Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C7A285B34080483BA0135F99D2A5BE1CB1BB8282DE8B4744B1ED978F77D7E59C962358 |
|
CONTENT
ssdeep
|
384:UzEUgp/V8fWOHO1UxeOnuPNFBXV9y5M1YFI6slPBPbLDGtpA4Yr1RQi2lLGtpn8W:CEtNVMWOHOyxeOnuPNFBXV9FCI6slPBB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8909a72727a71d5d |
|
VISUAL
aHash
|
271818000000ffff |
|
VISUAL
dHash
|
cdb2b24d10000000 |
|
VISUAL
wHash
|
7f1838200000ffff |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
d044b2b2324c3008,0000000000000000,0000010101000000,11496531314d6101,0000000000000000 |
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 27 techniques to evade detection by security scanners and make reverse engineering more difficult.