Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T159618CADA0255C1FA2B3C5C0F4D57E65BA82F32BC58984805F6641B68FDBF71F501162 |
|
CONTENT
ssdeep
|
48:0/3mhYw4LmghNnyYZKLwD7w2CKSmyAdjPpLmyEhn2vlBYrPr9ZY:0OT4NhNPDU25SriPhrC+Yrz9ZY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f2f2d998ce24cc89 |
|
VISUAL
aHash
|
fee6e7e7ffc3c3ff |
|
VISUAL
dHash
|
284c4d4c68969623 |
|
VISUAL
wHash
|
fee6e4e0f0c0c3e0 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
284c4d4c68969623,073931b261713333 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)