Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1655164714919ED3B0297C1E0AAB9575F62D5D34CCA235B0703F8836C6FDACD9DD89144 |
|
CONTENT
ssdeep
|
48:TyVOCn0uKneAB1Mdxbwwg8wgSwgywgFlfiElEnx:TPB1K6ACiF98 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3f3b7a680484c4 |
|
VISUAL
aHash
|
8181ffffffffffff |
|
VISUAL
dHash
|
333b406094000000 |
|
VISUAL
wHash
|
0001bfbff0f0f0f0 |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
333b406094000000,53d3daf094dc98b8 |
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 2400 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.
Pages with identical visual appearance (based on perceptual hash)