Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T159C3B571F220316E5633C3CA75A2DF8EE263F58CDB32A258EE90912F26D5CB50C259C5 |
|
CONTENT
ssdeep
|
1536:vJ3cfs1Zg7WTORtf3xk+bRTrIspw94WDmHzP+il21ZpuvsfyaIcQh6sGQE91QltA:BnPz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f474116d349acf85 |
|
VISUAL
aHash
|
c242fbc4e3f9dfdf |
|
VISUAL
dHash
|
2696661586219994 |
|
VISUAL
wHash
|
0042f384e39cd7df |
|
VISUAL
colorHash
|
0700a040002 |
|
VISUAL
cropResistant
|
2696661586219994 |
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 675 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.