Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T143E3E5B093604A3881A7C2C4B766575D8222518CE7121445DBF9CBF1FADFCD99CAB2CB |
|
CONTENT
ssdeep
|
1536:ZgyWk4W1Bo72Yxg7toT8kEC4mFwtih8J+dvaVy7GxUagW1geK3Bq52HVJ/UVgtd:Z6kjg2Yx6kJM21RV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e32b6c1969ca96 |
|
VISUAL
aHash
|
20747e6e7e780008 |
|
VISUAL
dHash
|
caccccccd4d1d859 |
|
VISUAL
wHash
|
607c7e7e7e78002c |
|
VISUAL
colorHash
|
10000000038 |
|
VISUAL
cropResistant
|
caccccccd4d1d859 |
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 568 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.
Pages with identical visual appearance (based on perceptual hash)