Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1477263725114AA3B13329BD5B362E79BF7858089C9C3015E91E0D31C2BE3EB2ED56396 |
|
CONTENT
ssdeep
|
384:jGFCc03zUCcYbLO69qqGD+HNLqp4lwHjpNJ3IB9J:jxpflGD+HJqp4l20J |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ff5e61618c639c21 |
|
VISUAL
aHash
|
80809c9effffe1ff |
|
VISUAL
dHash
|
203834381c0a4b24 |
|
VISUAL
wHash
|
80808c9ceefec0fe |
|
VISUAL
colorHash
|
07200030000 |
|
VISUAL
cropResistant
|
203834381c0a4b24,341436b23a7637b7 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.