Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T146334C726731B8A883DB41EEEB382D5AB2C5549DE8C74440F6C9969D23C7CD13287BB4 |
|
CONTENT
ssdeep
|
1536:aD+EsZ/8rWDVRVMjBmR9MjBfDrpRXPZlQaQD9OehM+BrUgq4z:aM/RlRCDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ef9094c5b0c5b4b5 |
|
VISUAL
aHash
|
bd81818181818181 |
|
VISUAL
dHash
|
4971414141414141 |
|
VISUAL
wHash
|
ffbd81b181a1b981 |
|
VISUAL
colorHash
|
19007000000 |
|
VISUAL
cropResistant
|
4971414141414141,c0f0c3c1c1c3c1c1 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.