Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E5C1E853A7FA46CEA24F77B070F03BD4165BEB792B482BD80474066586D2A88D40F9CD |
|
CONTENT
ssdeep
|
96:T4hRhOcneVLayYQYXeAWJ2ga/4m+aEzAWJ2ga/k6pb2Ao6tPZjwBK0cyJX:Ehe6X1OtJ2gaH+htJ2gas6xpo6tPZjST |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b39bcc649933268e |
|
VISUAL
aHash
|
ffe7e7e7e7e7e7ff |
|
VISUAL
dHash
|
00080c0c0c4d0c00 |
|
VISUAL
wHash
|
ffc3c3c30303033f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
00080c0c0c4d0c00 |
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.
Pages with identical visual appearance (based on perceptual hash)