Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15743A5606141723F653B44DCF668F795838AD30ADA3B94A6B3ECA1923BD3C60ED2355C |
|
CONTENT
ssdeep
|
768:EHwApLjJLLiJLLWJLLiJLLXJLL4JLLqJLL25Lrb5LACLvJLL0YbLL3e5LRGbLLRY:es053++nuyuyuy8WsWsWFe3H |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e66a5a62d8da42da |
|
VISUAL
aHash
|
81c3e7fff7e7e7ff |
|
VISUAL
dHash
|
158e0d16044d4c30 |
|
VISUAL
wHash
|
8181818183e7efff |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
158e0d16044d4c30 |
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 2454 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.