Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10882B92E12052B7D952B8A69F6A5B229D16DC3C8CF7FA41EF5ED006227C3815CC671AC |
|
CONTENT
ssdeep
|
384:uvysYhrGlLHpmSm1DOWyzDsKimMiNvZnvRYGYcx:uvylhKjQSm1OWyPzimMiNvZnvRYGYg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b33333671936644e |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
4ecc0e1216060c10 |
|
VISUAL
wHash
|
0000c3cbcbc3e7ff |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
4ecc0e1216060c10 |
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 10 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.