Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13903FAF8D268457C880A87D6F570A9A0361E70EFBEC28D7CD1784E9466A3CDC9D49C87 |
|
CONTENT
ssdeep
|
768:igmi9QmNFsuHnG05r80BD8GkOB5nG6/6rmbvl:Z/9/NFsuHnGmr80BZz5nV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fffb80000004fffb |
|
VISUAL
aHash
|
ffffff00000000ff |
|
VISUAL
dHash
|
8218198400000005 |
|
VISUAL
wHash
|
ffffff00000000ff |
|
VISUAL
colorHash
|
38002400080 |
|
VISUAL
cropResistant
|
8218198400000005 |
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 22 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.