Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T158345DB03314753956A343F2B06A2319A17EA60DD80F8454F3BCD5A56BAECC9F523F94 |
|
CONTENT
ssdeep
|
1536:aC9QGpTUmGuugMeK9S4irrOKTfvL7LhWYPpFC73eUq26T8Y5lMISCe3Kybu8SmJE:/rrHL7LjBFM+LXjUMAL98n0d0++v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3638cdb9ac62631 |
|
VISUAL
aHash
|
bdc383e7cdefff9f |
|
VISUAL
dHash
|
6917174d595d8421 |
|
VISUAL
wHash
|
85cb818185a1ff9f |
|
VISUAL
colorHash
|
07038000000 |
|
VISUAL
cropResistant
|
6917174d595d8421 |
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 104 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.