Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15B235B726722B8A843DB91EEF73C3D56B2C1488DF8C74554B5C95A8E23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aAN7+EsZx8/G8c4QVDawyoMhBiw3MhBbwZCN2/y9dGDTDiJE56ITmH+LCBlvNPqR:aAN7+EsZ/8nQVDawyoMhBiw3MhBbwcNc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb2f3fe6c0d0c02c |
|
VISUAL
aHash
|
010081ffffffffff |
|
VISUAL
dHash
|
6d717110171d1d19 |
|
VISUAL
wHash
|
000000dfc7ffcfcf |
|
VISUAL
colorHash
|
06007000000 |
|
VISUAL
cropResistant
|
6d717110171d1d19,ffffccf9e9b3f3ef |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.