Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E67252D1D190EC3A535282D8B7F5BB1B7391C389CF06095413F853BAABDEDA0CB22599 |
|
CONTENT
ssdeep
|
192:Qh3c3O32kFhkzYhh83ZQ/A8igdWKpccFcIYEEWBMM77QFwzGRTqDlU8F:QhM+voG8pQ41gAKpNcUEWiKshTqDa8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ef4f93c0e0f486a4 |
|
VISUAL
aHash
|
bd088181c3ffffff |
|
VISUAL
dHash
|
69532727974c0ed8 |
|
VISUAL
wHash
|
b8088080c3ffe77f |
|
VISUAL
colorHash
|
07000000006 |
|
VISUAL
cropResistant
|
69532727974c0ed8,66c6c2c0fcbc9091,414b2b138b472311,3366a68e9e874e4d,c00e708080600c80 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.