Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1242353B213461A7F9A8782E2FB156B49E1D5C31BC2235D08F7F2835B9F81D64FE05261 |
|
CONTENT
ssdeep
|
768:pdNrzGNt9Zs+GPTnZwbbQNKhrp+ohCyoxaSrE0X1Xmh2fld1ClthJu/fi0n+ml2H:msGvz5g0gSlJIQKMtF4+bZ791xHfLOMP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dc817724758cfd81 |
|
VISUAL
aHash
|
023c3c1818101880 |
|
VISUAL
dHash
|
966970b2b2b0b068 |
|
VISUAL
wHash
|
c33c3c3c3c3c3c9c |
|
VISUAL
colorHash
|
38c00010000 |
|
VISUAL
cropResistant
|
1919ee55653276e5,0e6c1937ce4b6614,966970b2b2b0b068 |
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 108 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.