Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18D63543C33C0563950C787F2E594DF29D299CBDADB67AD8BF3ACC246168AC458F52260 |
|
CONTENT
ssdeep
|
768:qXqFfnqLzabfXHwo4xBg28viRx1v3PZyGEWbH5XbePqIMZH+K0Pm:pfqLtlx1v3P3EWb63m |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a9abd2b2c0ead2d2 |
|
VISUAL
aHash
|
ff0b0b1303030100 |
|
VISUAL
dHash
|
dbd7d3d3d7d79390 |
|
VISUAL
wHash
|
ff0b1b7b1303035a |
|
VISUAL
colorHash
|
07600008040 |
|
VISUAL
cropResistant
|
abdfd3d3d3d7d7b3,39b3a25d5737d3d3,2040838b73a36393,dfd3d3d3d7d39a90 |
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.