Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T153B2A731B0406A3F81C797DCF3A2D33D66E7524DD91B0A0646FE93698BEBC40DC2A556 |
|
CONTENT
ssdeep
|
768:Hw1Py5NiU2dZcROKwCTKYQOfTkkpq9kWRAPuhiF7sBLy2+y9l0K4/rIe:Idu9O2qiF7sBLy2+UuK4/rIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c361bc3a9d48c7c3 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
948cc2c2c8c9c300 |
|
VISUAL
wHash
|
00e7f0702024ffff |
|
VISUAL
colorHash
|
31000600030 |
|
VISUAL
cropResistant
|
40c0c4024cac8000,960ccec2c2c8c9c3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.