Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ECD209A02140747EA85BC3ED37B8D65E920AF192DF2A41C4F39E425A36C7C71DD9628B |
|
CONTENT
ssdeep
|
384:xy765RFuMMLmfEZ5CltSAtMAUOAF2XMdBFIP5XOGb6b8Is:gW5RFuMMg/SAtMAUOAFL34tOGb6b8Is |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ccc93362ecccf131 |
|
VISUAL
aHash
|
ff18181810000000 |
|
VISUAL
dHash
|
a07030b030200013 |
|
VISUAL
wHash
|
ff3c3c3c3838009b |
|
VISUAL
colorHash
|
304001c0000 |
|
VISUAL
cropResistant
|
a07030b030200013 |
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 207588 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.