Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16663E732A1429A2B44A372C0B771DB4AB3C4A30CD753435591F9C7B93BDBC86DD39A98 |
|
CONTENT
ssdeep
|
768:ChJxwiHepDH3DfWXnbXp+D92Vx+5fH4F11XAMVhd4NPA2:ChJ2iH+DfW38Cw5fMpAMVgC2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e88347dc94d433f8 |
|
VISUAL
aHash
|
33e1c1d9d9c1c1c1 |
|
VISUAL
dHash
|
6a8b13b333333307 |
|
VISUAL
wHash
|
f3e1c1d9d9c1c1c1 |
|
VISUAL
colorHash
|
1a003008041 |
|
VISUAL
cropResistant
|
006303838bc7930b,4bd6cc98e2c68311,7cf080c070188ea3,388ea39886e0781c,3919dab84e4e2c0c,da983c6cdada9214,00c0b084a184b881,332129aabb352726,fffee4f4f9ebd3f6,6a8b13b333333307 |
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 72 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.