Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B29275327045143BA123C7C1E7647B7A70BBE36BCB0A5054A2F903769FE6DA5B8171E8 |
|
CONTENT
ssdeep
|
384:prd30BJonW5jxEiRNmjeinD5r0s7/4yNxdSV:pRK1EiWCiDF/4ExS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ad5252a5a43656b7 |
|
VISUAL
aHash
|
0018081303030303 |
|
VISUAL
dHash
|
d47b78b3336b7b33 |
|
VISUAL
wHash
|
263c3f1b033f1f03 |
|
VISUAL
colorHash
|
31010000200 |
|
VISUAL
cropResistant
|
000000000000191c,d47b78b3336b7b33 |
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 44 techniques to evade detection by security scanners and make reverse engineering more difficult.