Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19E728EB3C208989E2B93FCC6FD537F05548FE029E55F0858FA68295E16D6FB1C4A5322 |
|
CONTENT
ssdeep
|
192:IFYi27B+k4vlY21QBNxZr/7q67FKFEKprdiqialIVG6FV:g8e6n7qCFsprdiqRGVG6FV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eded1292ae12b28d |
|
VISUAL
aHash
|
fffbf3f3fbfb0000 |
|
VISUAL
dHash
|
693236373296f9f3 |
|
VISUAL
wHash
|
fffbf3f3b3000000 |
|
VISUAL
colorHash
|
0ae00000000 |
|
VISUAL
cropResistant
|
29d2323627363292,23234b6b23132333,ffdff3f369f3f3ff |
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 73 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.