Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A6E3FBB07405752B022346DB70AA1B0AF2D6920FC9170D50B3ECD79AE7D9CE6E437B95 |
|
CONTENT
ssdeep
|
1536:9tzMeTrCc3ar5ki2x6FmaxMTD40cZ1JgWD2K9AdksKlUuRNka2wblHbJLwLIz9Go:9tz345V1JhD2K9AisarX2wd9W/guGO4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c9794ae33b4b398 |
|
VISUAL
aHash
|
561818009999db18 |
|
VISUAL
dHash
|
94b2b2333333b2b2 |
|
VISUAL
wHash
|
ff181819999bdb18 |
|
VISUAL
colorHash
|
38003400008 |
|
VISUAL
cropResistant
|
94b2b2333333b2b2 |
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 544 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.