Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C1B35CF03658F1A665A347A3A06F2407B37D243F284D4D609354ECED62A8CDAA4A7FC5 |
|
CONTENT
ssdeep
|
1536:/R3kSs6Wytmt6UkCjrpQ4CgD9d2hr7zOUlNtbPTMnPC6T2uAtbzL8J:/NkDShvOsN50Tstbq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e24607871db0bd7 |
|
VISUAL
aHash
|
00183c3c3c3c3c3c |
|
VISUAL
dHash
|
3062687070716969 |
|
VISUAL
wHash
|
183e3e3c3c3c3c3c |
|
VISUAL
colorHash
|
32001208080 |
|
VISUAL
cropResistant
|
92ce69e0e0e27755,3062687070716969 |
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 74 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.