Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14C728731621C7BBE139B87B0F3B3E37D61AE928CD527885573BC03659BD6CD88892254 |
|
CONTENT
ssdeep
|
384:jK1yDL8u9LUddU2HNxmotHRUl4e/ddsHSb:jK1jgURXmotulEHO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc1c2b434f63634e |
|
VISUAL
aHash
|
009f8f8ebeffffc3 |
|
VISUAL
dHash
|
a9303634208e0e2b |
|
VISUAL
wHash
|
000f038e9cefff83 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
a9303634208e0e2b |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.