Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B721003010248E63814395E9B7B1FA09396AE2D992C32B1616DC939C1EDFE63CE202D4 |
|
CONTENT
ssdeep
|
24:n9R5eWnAGnbrKCNEjythGY2eba4bOTN92k12Sh8u/Fa:nPPnFfKCNE2thGfMhbIHGPuk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c94c66688f34dcb3 |
|
VISUAL
aHash
|
f0f0fc9cbd19053f |
|
VISUAL
dHash
|
e28198325bbbd972 |
|
VISUAL
wHash
|
f0f0fc98a919053f |
|
VISUAL
colorHash
|
07042008000 |
|
VISUAL
cropResistant
|
e28198325bbbd972 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)