Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19043FC34D459623B862716CDF0A15B1AB0EBC30AD5035491F3FD83C82BEBC45ED9AA79 |
|
CONTENT
ssdeep
|
384:DRh3Ef6mdMg6SgHrqWqN0VMIwEdT8n1df9AnZnzidNF9NuG/giZhIvstWReTv:Vh3ECPbS+pD1wdNJu25DIvskReTv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2b93dad863039c7 |
|
VISUAL
aHash
|
0300247c7c002020 |
|
VISUAL
dHash
|
12d0c8ccec80c4c0 |
|
VISUAL
wHash
|
9b507c7e7e607070 |
|
VISUAL
colorHash
|
38000006000 |
|
VISUAL
cropResistant
|
8208104d4d300082,12d0c8ccec80c4c0 |
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 207 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.