Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182623CB5732411A58E0347CAFA6223EFF20340BEEA2216D9E758C32872D58FD8935DC5 |
|
CONTENT
ssdeep
|
192:QokoBt50Qf45eW8MetlHqAp9xhEeZ6EdJoSgzku9cuGRmKbMpBXp7sfgg8gk:QTou845eW8tBhEE6EdCtgsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb3ac42e95e9c192 |
|
VISUAL
aHash
|
81818d89858181ff |
|
VISUAL
dHash
|
611d595959494916 |
|
VISUAL
wHash
|
ff8185898d8181ff |
|
VISUAL
colorHash
|
334010000c0 |
|
VISUAL
cropResistant
|
611d595959494916,fca4a4b2b6f2c6c7,0000000000020400,60c4c48482828280,a97c989a981ccaca |
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 487 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.