Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F5A32AE1390CF96659F343A7109B15067338561B640D0D2073A4EE9E72BCC9BB267FEA |
|
CONTENT
ssdeep
|
1536:ZcH5z5ptxG995XgfbsQJo2h2wV92949tVPTMn5UCWpuKFh3o8B:eCXkXMA2i9nYWbFhL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b33333e6cccc6231 |
|
VISUAL
aHash
|
c7c3c7ffffe7ffff |
|
VISUAL
dHash
|
4d4d4d62324c2a32 |
|
VISUAL
wHash
|
0703031b9bc3dbdb |
|
VISUAL
colorHash
|
07000200030 |
|
VISUAL
cropResistant
|
4d4d4d62324c2a32,dedac6dc8cb4a4fc,f7db84ace4ccdc58 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.