Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T138920530B404496605F3AAD1FC227F2E39C3F70FD15A81849AEE66548FCBFE5769A460 |
|
CONTENT
ssdeep
|
384:DHMtyt9r7LSgcV34jvL/Rs/TL/Rs/oL/Ri/0L/Rs/eL/Rs/zh:DHMtyt9r7LSgO34jvL/+/TL/+/oL/o/7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99ccccce64939933 |
|
VISUAL
aHash
|
3818181808181818 |
|
VISUAL
dHash
|
b2b2b23838383830 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
380c0010000 |
|
VISUAL
cropResistant
|
c808296948535091,c0103434fc1818c0,b2b2b23838383830 |
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 6 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.