Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C1A2FF74A481AF2B42AF82C65A73EB06F1C2A385C55B6685B7F583CC0ED6DD1CC9D312 |
|
CONTENT
ssdeep
|
384:avHOk2JaT8ty5H98xKx7PCKtr19adTVTMXk38HSG8sx7INqVCbohP9yu/NuFdiHR:avHORHAH98xKhPCKtr19adTVTMXo8yGr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2016d7d0996e1ed |
|
VISUAL
aHash
|
02606c6c60869e18 |
|
VISUAL
dHash
|
36c1c8c9880c7430 |
|
VISUAL
wHash
|
12707e6eee8e9c18 |
|
VISUAL
colorHash
|
380060000c0 |
|
VISUAL
cropResistant
|
36c1c8c9880c7430 |
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 190 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.