Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16C7395719355063F421F0AD870702B1B31EBD34CEA579818A2FC43976BDBCA09D96AB9 |
|
CONTENT
ssdeep
|
1536:yS4AmO9lWnDBFEpzWImK1tQKiKWHW9uewBuCUcxgOKeKrZKpykcFKBK9KVUjxQ+Y:bvvmK1tQKiKWHW9uewBuCUcxgOKeKrZy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c8a52798987676dc |
|
VISUAL
aHash
|
c3c3d3d8df400000 |
|
VISUAL
dHash
|
8782a2b0b3908040 |
|
VISUAL
wHash
|
c3e3fbdedfc40000 |
|
VISUAL
colorHash
|
3800000b0c0 |
|
VISUAL
cropResistant
|
8782a2b0b3908040 |
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 5 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.