Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15D32845BC716076C0B1104F6BB08619FA25C349DB36A0DC17E9DD23927C2597A33BFAA |
|
CONTENT
ssdeep
|
192:O5KxfVGfKTPS6wTSFSRtS7S7FR7iNdqasD36oEmLn/LnIwXI6YQTtXNZON1r:Df7RwTAqt+E7OdqaCq6/L9JbtXWr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b1131dece0c1f3a |
|
VISUAL
aHash
|
0f0f0f3fbfbfbfbf |
|
VISUAL
dHash
|
5a9ada7878787878 |
|
VISUAL
wHash
|
0f0f0f0f0f0f0f8e |
|
VISUAL
colorHash
|
06002000180 |
|
VISUAL
cropResistant
|
5a9ada7878787878,589290c8cd909259,9e8abac9c8dc9bbd |
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)