Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AE52F230B05579231127A6C6B9B2AF1A32337329DB110958B7F01EA26BCFCF679617D4 |
|
CONTENT
ssdeep
|
384:rMEFP2tnR2VRPEu3uLTJxFt5LfByLfYTLfplLfjjLfqArCtTzhBeC3D:rml0V9Eu3sPFt5LfByLfYTLfplLfjjLs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333266666cccccc |
|
VISUAL
aHash
|
e7e7ffe7e7ffffff |
|
VISUAL
dHash
|
4d4d004d4d000c00 |
|
VISUAL
wHash
|
00002424040c0c0c |
|
VISUAL
colorHash
|
07000000606 |
|
VISUAL
cropResistant
|
4d4d004d4d000c00,212101617103630b,4500a4b0b2b20055 |
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 49 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)