Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T188F29431A151AE3B40B7D2E9F3A5632B32D6938AC946034583FD47BD0BEBD84FD22954 |
|
CONTENT
ssdeep
|
768:Zrarx4NSXBIGbWSJfErCVQJcfZ36C3EXnHVU41W:ZzSXBIGjl6mEXn1V1W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ac1ca5d6b5138 |
|
VISUAL
aHash
|
e987878f9feff3fe |
|
VISUAL
dHash
|
4b3f3d3b3d0d2702 |
|
VISUAL
wHash
|
818387898dc5f1fe |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
4b3f3d3b3d0d2702 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.