Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14323D870A840D93741EB99C5A236172A66F98349CA130689FBF8C7F95FDFC69DE23110 |
|
CONTENT
ssdeep
|
768:TfsIx/jo27ag6mWqHHPB7xSoPtTYHIlXkeeeD1eeeD0eeeDkeeeDseeeDZlFlAs7:zsIx89mDtkeeeJeeeoeeeQeeeIeeeXFv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb946ac9a649cc33 |
|
VISUAL
aHash
|
ff9f9fffbff9c1c1 |
|
VISUAL
dHash
|
593631516eb3130b |
|
VISUAL
wHash
|
fd1f0f1f3fc98000 |
|
VISUAL
colorHash
|
07c00000600 |
|
VISUAL
cropResistant
|
593631516eb3130b,f8f0f0e0c0c08080,13d3716574309199 |
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 48 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.