Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C2235B726332B8A843DB91EEF7392D46B2D6589DF8C74450F1C95A8D23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aS+EsZx8/G844uDawWMLB2whJMLBOwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqDr:aS+EsZ/8ruDawWMLB2wrMLBOwZUXx+y6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf6bc06ec4959590 |
|
VISUAL
aHash
|
818187838181ffff |
|
VISUAL
dHash
|
23395d5d5d1d3d00 |
|
VISUAL
wHash
|
c18187838181ffff |
|
VISUAL
colorHash
|
1e000c10000 |
|
VISUAL
cropResistant
|
23395d5d5d1d3d00,0000000000000000,63619e9a9a969e5a |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.