Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11CF342B8271C3E2D645B9BA8F710FBA4136D5190BD59D1E896BC76302A8BCC4F8379C4 |
|
CONTENT
ssdeep
|
1536:4QTpGGG65GGG6XGGG6TGGGG+GGG65GGG6XGGGiHGGGiyGGGGCGGGGzGGGi8GGGGr:Lv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f1a25d8ade8e5138 |
|
VISUAL
aHash
|
bfc3c3ffffc98382 |
|
VISUAL
dHash
|
699e9e4c13931716 |
|
VISUAL
wHash
|
b9c3c3e7efc18180 |
|
VISUAL
colorHash
|
07000008011 |
|
VISUAL
cropResistant
|
699e9e4c13931716 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.