Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A502972722406F3F4627867476D0F14A461E921EC57B98AAF6DC13BB37E6F90CA2315C |
|
CONTENT
ssdeep
|
192:yahvrM0PQD7ZkbBPEEbVRtNdnMpuYuuCskwaMYbPbR:ycoD6JL53LnMpuYujxwaMYbjR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
88a9772689cd7663 |
|
VISUAL
aHash
|
071f031b1b031101 |
|
VISUAL
dHash
|
fff777b3b3e7b7ff |
|
VISUAL
wHash
|
0f1f1f1f0f131b03 |
|
VISUAL
colorHash
|
38000000038 |
|
VISUAL
cropResistant
|
0000084d4d080000,fff777b3b3e7b7ff |
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 86 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.