Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B805E1F37190253B4787C6C1F950313FA367E2C9E848CC86E7935A89A9D9BE4F94284D |
|
CONTENT
ssdeep
|
6144:Qvg+eNto1ov8M53Nq1eMwt2N4pEXyZy9Vd/Cyqiw52u941NK04yzCt6A:Qytocq1eMwt2N4WXyZy9Vd/zqiGI1RYB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bcc2c399cc36d839 |
|
VISUAL
aHash
|
ffe787878787879f |
|
VISUAL
dHash
|
818d2d2c343e3e3e |
|
VISUAL
wHash
|
f1e780838787878f |
|
VISUAL
colorHash
|
0e407000000 |
|
VISUAL
cropResistant
|
818d2d2c343e3e3e |
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 410 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.