Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T156234A726332B8B883DB91EDF7382D46B2D2989DF8C74554B5C85A8D13C3C816297BB4 |
|
CONTENT
ssdeep
|
768:ar+EsZx8/G8IVRF4BDawsMIB4w5MIB0wZUcix+y9dQpUDF1E56ITmHDLBABW8KPS:ar+EsZ/8I3OBDawsMIB4w5MIB0wZUXx8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bbc4c43bc4c43bc3 |
|
VISUAL
aHash
|
ffcfbfff8181ffff |
|
VISUAL
dHash
|
b43b7bc21b3b0400 |
|
VISUAL
wHash
|
df0119098081ffff |
|
VISUAL
colorHash
|
07208000600 |
|
VISUAL
cropResistant
|
b43b7bc21b3b0400,789c7cadb5a51d3b,9396dca8baac847f,abe48caccc9d99ce |
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.