Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FA82AA75A20146A303F398C6E1617E6EB2DBF70FC50A85506FBD45E90FE3DB9B9025A0 |
|
CONTENT
ssdeep
|
192:6rVRvqdSeFg/Oc6QJFWmwFCbFOKEFAMKP35UfCZ/9RPhypG:yuo/OchJF5wF2FOBFAMwWG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc6666ce26a68e93 |
|
VISUAL
aHash
|
3410181818381c08 |
|
VISUAL
dHash
|
283432203232283a |
|
VISUAL
wHash
|
180818183c3c3c18 |
|
VISUAL
colorHash
|
38006000000 |
|
VISUAL
cropResistant
|
283432203232283a |
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 10 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.