Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F1B2DC34A200506641B7E9C5E1A0BF2F72E3F30FC506A5157EEC86858FDBEB8B711966 |
|
CONTENT
ssdeep
|
192:64VRc7GOhvMLNYU+da16YVOSju+WUkBibBT5:ZSGOhvMxAmN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc66333333366699 |
|
VISUAL
aHash
|
1818181818181818 |
|
VISUAL
dHash
|
3032b2b2b2b2b2b2 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
31c000c0000 |
|
VISUAL
cropResistant
|
3032b2b2b2b2b2b2 |
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 26 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.