Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18D34B530E220311D5363D38A75E2CF4ED233E948DB27A66CEE90A12F57DDC650D62AD9 |
|
CONTENT
ssdeep
|
1536:QL3cCri1ZgJzTC90zCCqZRXCqnbHCtzx+CIglpCs3TUCR7rHCraRvCI38lCfqiNA:CFbw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f034513515d5d4db |
|
VISUAL
aHash
|
02c1fdd3e4d7f8e9 |
|
VISUAL
dHash
|
ae95c5a64d14529a |
|
VISUAL
wHash
|
02c1f5c3a493baeb |
|
VISUAL
colorHash
|
07001240001 |
|
VISUAL
cropResistant
|
ae95c5a64d14529a |
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 291 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.