Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E33281914106A527131366D5F117AF40B7C28308DB024B9596FEC7EEBBEDC68DC2B2B9 |
|
CONTENT
ssdeep
|
192:8HgLg7Gf9DWig/91PhrHuFWOl0ok49PfgygaPJj0g:8HgLg7Gf9/g/zP4Ffl0odNfgyRZ0g |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
de0c76b23474925b |
|
VISUAL
aHash
|
04383c183cfff000 |
|
VISUAL
dHash
|
d471717071f8005b |
|
VISUAL
wHash
|
143c3c383cfff980 |
|
VISUAL
colorHash
|
38070000400 |
|
VISUAL
cropResistant
|
feffffcfcffffffe,07bdf0e0071b6041,d4f07171717069fe,e820073940504040 |
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 90 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.