Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17B234C766731B9A883DB52EEE7382D5AB2C5589DF8C74400F5C996CD23C7C902287BB4 |
|
CONTENT
ssdeep
|
1536:aX+EsZ/8tDVReMjBDRYMjBoDrpRXPZlQaQD9OehM+BrUgq4z:aIiR/R+DrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba6b6f3a6b24c190 |
|
VISUAL
aHash
|
0081ffffffffffff |
|
VISUAL
dHash
|
7171203d39393d27 |
|
VISUAL
wHash
|
0000839fdfdf9f83 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
7171203d39393d27,0109331121330d21 |
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.