Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17E736AB47448A6771AF742E730A56603B174A30BC40B8D10B358F99A77FDCD3A8A36D9 |
|
CONTENT
ssdeep
|
1536:brTYM+wdGzczliwwx3E6JbOoECysHggo6+57X1:nLliwwx3E6J8ygG+7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b5b04a6daf4a9546 |
|
VISUAL
aHash
|
0147070f07070000 |
|
VISUAL
dHash
|
3f9edc9e8e1e616a |
|
VISUAL
wHash
|
9f6f0f4f0f0f2030 |
|
VISUAL
colorHash
|
30450008200 |
|
VISUAL
cropResistant
|
f9f8f1ba7b68d8b0,3f9edc9e8e1e616a |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.