Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AA5321B1C65A313B02278ED5B4706B4BB2D3831DDE67891157FC4B8E6FEBC90EA05486 |
|
CONTENT
ssdeep
|
1536:iA845ObtQHIOAHJUBpNxyaGntCoyxiGw6:z0Oa6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba3ac5c5c49636c6 |
|
VISUAL
aHash
|
ff838387ff9f9fff |
|
VISUAL
dHash
|
253b2f3f473b3813 |
|
VISUAL
wHash
|
b7818181878f8fcf |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
253b2f3f473b3813,01110d6168966040 |
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 43 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.
Pages with identical visual appearance (based on perceptual hash)