Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T180527731B100582A616745DBB0977B2EA383F74FCF1625D8B2F483B96BEBC60F451649 |
|
CONTENT
ssdeep
|
192:AApToBh07ek453sYNGbDX7EPjEog3XO3k453JXhsm6B5Ld9O:JpTQ07ekaGvX7EPjEog3e3RRsH5LHO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce8035a9c4deeae2 |
|
VISUAL
aHash
|
ff03f4fcf1000000 |
|
VISUAL
dHash
|
629f2561012b2d24 |
|
VISUAL
wHash
|
ff07f5fcfd810000 |
|
VISUAL
colorHash
|
06001000180 |
|
VISUAL
cropResistant
|
00006068688000ff,3539bd9c3ff93f7e,22023038b122b202,bfa561e50b6f2c25 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.