Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F1137330E044B83B019392E5A732676FA3C48245CA570756A3FC8B6DAFD7E95DC3B294 |
|
CONTENT
ssdeep
|
384:PmB44wdWzI4R5Q5LOIhQtaScomSTLSZOd2yjFuBIcesHb:+B44NzI95LOI2gScohTLSYdrjFnk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec3c93cbb4646139 |
|
VISUAL
aHash
|
9f9f819391f1f9ff |
|
VISUAL
dHash
|
2b36332737031304 |
|
VISUAL
wHash
|
9793818191f0f8fe |
|
VISUAL
colorHash
|
07000000c41 |
|
VISUAL
cropResistant
|
2b36332737031304 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.