Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E6331F306945DD3301EF99C969725B2A62F68349D5220689FAF9C3F91BEFC2CE937014 |
|
CONTENT
ssdeep
|
768:1Uf7gthLCDMxC1md5Tqz6bes2R/jtdGKH+K0Pm:S7gthLCDsbM6bes2RRdsm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9669e396e9b2911a |
|
VISUAL
aHash
|
ff0000001c1e1eff |
|
VISUAL
dHash
|
997d3d35747c7c5c |
|
VISUAL
wHash
|
ff00040c1e1e1fff |
|
VISUAL
colorHash
|
19000000380 |
|
VISUAL
cropResistant
|
06199999989a2a2a,cccdd35155555555,e1e9e9d9d9f979b0,6d3d3575747c7cdc |
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 569 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.