Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T160235B726722B8B883DB91EEF7383D46B2D2989DE8C74450B5C95ACD13C3C816197BB4 |
|
CONTENT
ssdeep
|
768:al+EsZx8/G82RF45DawwMSBbowaMSBbRqN2/y9dGDTDiJE56ITmH+LCBlvNPqDv7:al+EsZ/8YO5DawwMSB0waMSBQN2/y9dG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3fd0c06bd0c02e |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
4d717d5d71040000 |
|
VISUAL
wHash
|
8101018181ffffff |
|
VISUAL
colorHash
|
06007000000 |
|
VISUAL
cropResistant
|
4d717d5d71040000,dcf0f0ecdedcdcc4 |
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.