Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A7E26A70610921FB427B88C0A8217F6B75E3E74BC247D4425EBC91958FC3EB6FA151AE |
|
CONTENT
ssdeep
|
192:AuBuQZCqzPVigVRxZBt4DdOL3NFix1pb2o2hXGfNdgap/hX:bNRxbtWALdSp6VhXGfNdgap/hX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed4d9292c26d6d92 |
|
VISUAL
aHash
|
fd9f9191ff83ffff |
|
VISUAL
dHash
|
c13832320d3b2202 |
|
VISUAL
wHash
|
7d9f8181838183ff |
|
VISUAL
colorHash
|
07000408000 |
|
VISUAL
cropResistant
|
c13832320d3b2202 |
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 1192 techniques to evade detection by security scanners and make reverse engineering more difficult.