Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17E73E79A6450212A473740E344BB1FCAB739682FF82905E1A4BCD7A573DC8B13177B9B |
|
CONTENT
ssdeep
|
768:XyWufPcNwGHzuyT9H+/vFD5s/WWX8UABKzt4oYMjO3U0b4Vlp2slrYJWxKXzJHdk:I8a17yOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f13f4d4c05078f5 |
|
VISUAL
aHash
|
fe3f0f1f7f1f3fff |
|
VISUAL
dHash
|
986378f8c2306666 |
|
VISUAL
wHash
|
7c1f0f1f7f001332 |
|
VISUAL
colorHash
|
07010000e00 |
|
VISUAL
cropResistant
|
986378f8c2306666 |
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 477 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)