Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E661102150489D3F071383E8DF79777E72939196EE1B1F0562E08BAE9EC2E56DE12082 |
|
CONTENT
ssdeep
|
48:TDhYqq4HNoUpXQoUpX42iIXspgvH9ZBt9MT6B08H0ux4M7rkx3jeXcHjzk3:TDxrt1pA1poiXNvdZBtGTn43 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b199cece33648c93 |
|
VISUAL
aHash
|
ffcfcfc7cfc7c3ff |
|
VISUAL
dHash
|
601c9c9e9a961668 |
|
VISUAL
wHash
|
cfc3c7c30703033f |
|
VISUAL
colorHash
|
07602000080 |
|
VISUAL
cropResistant
|
601c9c9e9a961668,2a70aa92903ca4a0 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.