Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T162530A10621277AA1C334F74E38A31B6D1AED344E6B6346DB3A9429032D32B5C757DEB |
|
CONTENT
ssdeep
|
1536:gmZ0wA30nM+ak00f3E4trDXS9q8Z7U1c/jDMYJ72XIz+Wf7LMq8Z8jkl/z1q2BAZ:g8YJ7zbR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4cc9b9b9b646464 |
|
VISUAL
aHash
|
ffffc3c3c3c3c3c7 |
|
VISUAL
dHash
|
711a16160e1e1e1e |
|
VISUAL
wHash
|
b9c3c3c3c3c3c383 |
|
VISUAL
colorHash
|
07001000c40 |
|
VISUAL
cropResistant
|
711a16160e1e1e1e |
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 394 techniques to evade detection by security scanners and make reverse engineering more difficult.