Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19F21332010041EB71201E2D47660EB2E77D5855ADF971A001BF0935DDBD3D99C804487 |
|
CONTENT
ssdeep
|
24:hR/C2TAOKZcuDfWnuHWkdN9uhaNcTk6dM:TPAcCd/H3X7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc6633cccc6666 |
|
VISUAL
aHash
|
1818181800000818 |
|
VISUAL
dHash
|
3010323210083030 |
|
VISUAL
wHash
|
1c1c383810000018 |
|
VISUAL
colorHash
|
38000000180 |
|
VISUAL
cropResistant
|
3010323210083030 |
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 22 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.