Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18C046530275453B7549BD3D8D520BE6631FAF346D80BA68A2BF885291FC7D78ED209B0 |
|
CONTENT
ssdeep
|
1536:nBMzv5AMfQTxTkyttttttttttc4nvK3lpJsQJofJ:nBMzv+qIWsQJofJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cdc2c3d43c373836 |
|
VISUAL
aHash
|
7e7e000010183e3c |
|
VISUAL
dHash
|
d4d022243430e2f0 |
|
VISUAL
wHash
|
7e7e1018181e7e3e |
|
VISUAL
colorHash
|
38080006000 |
|
VISUAL
cropResistant
|
d4d022243430e2f0 |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.