Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A35233B03362693A52A7CBF1B3A5AFA7A0CCE349CE87C659F2FC815617CDD959D01210 |
|
CONTENT
ssdeep
|
384:GhJ2Fc6UpfYOrAdL4L2EoHuF5ZmK7xA9LZdIQAqJbsYu+ke:GOk1T61t |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
847c7d58331dcc2e |
|
VISUAL
aHash
|
183c3e3e7c7c3e38 |
|
VISUAL
dHash
|
f0f0e0e8e8f0e0c0 |
|
VISUAL
wHash
|
103c3c3e7c7c3e38 |
|
VISUAL
colorHash
|
38001008180 |
|
VISUAL
cropResistant
|
f0f0e0e8e8f0e0c0 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.