Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12B13F214B10051BB457789E8E068BF15B2A6FB4FC36BCE4367EC82A16FCADB475211E4 |
|
CONTENT
ssdeep
|
768:Arb9b6rbdbBbgbEDzRVNvXyUDfRVntTGWJvicMjbRbAXJ2tbgrPgP:ArRerZFUoVNPnA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e3b59c4197d4d491 |
|
VISUAL
aHash
|
fec3e7e761e0e0fd |
|
VISUAL
dHash
|
9a2b4c4f4f4b8a29 |
|
VISUAL
wHash
|
fe81e7e720a0e09d |
|
VISUAL
colorHash
|
07003000080 |
|
VISUAL
cropResistant
|
9a2b4c4f4f4b8a29 |
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 25 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.