Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16971529912400984261CB1C0F9F66BDC22A20373DBB235589B7DF29EE04F6764912BFF |
|
CONTENT
ssdeep
|
96:n6tiu8xBSj5EyDHVlTsBaV+Ae9dvHHn2LTCdvHHsgXHg1a:6tqxBu5EyDHjQaV69dvHH2fCdvHH5XH/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b272584d2d587e36 |
|
VISUAL
aHash
|
00ffc7e727ffffff |
|
VISUAL
dHash
|
338c0dce4d340000 |
|
VISUAL
wHash
|
0001830303ffffff |
|
VISUAL
colorHash
|
07008000e00 |
|
VISUAL
cropResistant
|
334d8dce4d200c00,23233333330b032b,3432356ab4686061,80114d33330d1000 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
JavaScript intercepts form submissions before they reach the fake backend. This allows real-time credential harvesting and validation without server round-trips.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.