Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E632825141466527130366D5F217AF40B3C28308DB024B9996FECAEEBBEDC58DC2B3B9 |
|
CONTENT
ssdeep
|
192:8Hgvg76f9DWig/91PhrHuFWOl0dk49PSzeAaPUzJ:8Hgvg76f9/g/zP4Ffl0ddNAexUzJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e1c76b23074965b |
|
VISUAL
aHash
|
04383c183cfff000 |
|
VISUAL
dHash
|
d471717071fa005b |
|
VISUAL
wHash
|
1c3c3c383cfff900 |
|
VISUAL
colorHash
|
38070000400 |
|
VISUAL
cropResistant
|
feffffcfcffffffe,134eb9e6c8238713,d4f07171717069fe,e8a0073940504040 |
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.