Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T149C23621A00A556247B394D5F2B4BF1E76B6FB0F864A95826FECD1861FC3DB4B5088B0 |
|
CONTENT
ssdeep
|
384:IGMexINFueFxFoiFz5pMXgXT+p8k5JEKtqITRMnf2uR:IGMpZDomz5pMXgW8k4o91+D |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b02a282f0f8f8f8f |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
0f9f4955bca8b08c |
|
VISUAL
wHash
|
0000bdff061ffe66 |
|
VISUAL
colorHash
|
06c01000000 |
|
VISUAL
cropResistant
|
0f9f4955bca8b08c,a7af8b9a968e9f0b |
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 28 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.