Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C033D6502201B76F5C330F74F34975AAD1EE8389E6E6A56EB2449350B4D203AC687DFE |
|
CONTENT
ssdeep
|
1536:2mY0wA3wnH++R26o3E4tujfSaqDZ7U1c/IfaBR:Nd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e1619e9626999b99 |
|
VISUAL
aHash
|
ffc3c3c3c3ffffff |
|
VISUAL
dHash
|
4d96969696001660 |
|
VISUAL
wHash
|
000303030024f090 |
|
VISUAL
colorHash
|
06080003200 |
|
VISUAL
cropResistant
|
4d96969696001660,ccf0ba82deba9696,ccb02b2bd00d8fb3,8eb89e3adce8aa8e,0dd5d55575f57169 |
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 428 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)