Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17F45F47AEC0C6A09707A75CDE3DC0D8FE955F357E32218E696C5CF31918A818782A97C |
|
CONTENT
ssdeep
|
1536:8WoNfBa8chNFteqTMW6wlD6xHWt0q7hNFteqTMW6wL96NVWt0FiJnP6Rr973iWP9:yfw8chNQDu0q7hNQlu0ghNQ5u0kX+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e3331e5b1b11714b |
|
VISUAL
aHash
|
00e3c3e3f9fdffff |
|
VISUAL
dHash
|
390f8e9f634ba4c0 |
|
VISUAL
wHash
|
0000c1c1b9b9ffff |
|
VISUAL
colorHash
|
06000600018 |
|
VISUAL
cropResistant
|
190f8e9f634ba4c0,0418597939795804,9c9e998dad8b9a96 |
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 80 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.