Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T161B26436A9443137060799D073B62BCE76CB931ECC5719A8B7F882D10FEACD4DE2519A |
|
CONTENT
ssdeep
|
768:MCKiupHszZiGNh7euNox2Wfg4GUEsvqaqwqyKqUqgqXqtq9qEqQ:MO3o7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9696a2496969cbb6 |
|
VISUAL
aHash
|
00266600003c0001 |
|
VISUAL
dHash
|
98cccc1330706949 |
|
VISUAL
wHash
|
667e7e18183c017f |
|
VISUAL
colorHash
|
38e00000000 |
|
VISUAL
cropResistant
|
000080232b900000,0200927272820002,0000011c4c010000,98cccc1330706949 |
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 340 techniques to evade detection by security scanners and make reverse engineering more difficult.