Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T189031E316844ED2701CB99C9A2769726A2F58345C6230689FEF4C7F95BEFC2CCA33564 |
|
CONTENT
ssdeep
|
768:P4uJcB8ZXfBiSte+lD40Oe/Vjhwizj9Hz8ysIx/jcxUf79X:lcB815bteKD40Oe/Vjhwizj9Hz8ysIxh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e25338b443c73c3d |
|
VISUAL
aHash
|
00400070f7dfff31 |
|
VISUAL
dHash
|
c49da5c5ccae4265 |
|
VISUAL
wHash
|
00000070ffffff37 |
|
VISUAL
colorHash
|
10000000180 |
|
VISUAL
cropResistant
|
a2534b48c6c5d7d1,c49da5c5ccae4265 |
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 67 techniques to evade detection by security scanners and make reverse engineering more difficult.