Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T149234A726722B4A843DB91EEE73C3D46B2D1888DF8C74514B5C95ACE23C3C916297BB4 |
|
CONTENT
ssdeep
|
768:aE+EsZx8/G8m4xDawdM2BKwXM2BDwZCN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAZ:aE+EsZ/8BxDawdM2BKwXM2BDwcN2/y9M |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb2f95953b949460 |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
474d494959200000 |
|
VISUAL
wHash
|
8101818081ffffff |
|
VISUAL
colorHash
|
1e002000380 |
|
VISUAL
cropResistant
|
474d494959200000,92cf8b88c0c8989c |
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.