Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15F7133A0A189A32B3A03CCE5F25A575974CAC94BCF432D8462EC42BD12D9C57B8BF049 |
|
CONTENT
ssdeep
|
48:OupHCPCaCRC2xTHkBNfEkM4mZ4rf+xlWV2FNeu2r4DPRQTr:OuUa9oRf/M4mZhlWAqtrw6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a64c4c6666e7e6c8 |
|
VISUAL
aHash
|
0000ffe7ffffffff |
|
VISUAL
dHash
|
17332b0c0c4d0004 |
|
VISUAL
wHash
|
000000c7e7e7f7ff |
|
VISUAL
colorHash
|
07000080007 |
|
VISUAL
cropResistant
|
17332b0c0c4d0004,070f17170f6b6171 |
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 1561 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.