Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14692EA67F32913744A8703AEFB1A72EDA12340D8C6256FCC97A9420DF18D8EEC519DC6 |
|
CONTENT
ssdeep
|
384:Q1oCYRCWoHWNxeQerZM8upzQ9DwsmMpBZ7eg/B:MoJYHWNmr+Q9Dxm4/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
952a55aa55aa55ab |
|
VISUAL
aHash
|
07010f7f7f7f7f02 |
|
VISUAL
dHash
|
9cd99dcec8c0db4a |
|
VISUAL
wHash
|
07007f077f7f2f00 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
9cd99dcec8c0db4a |
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 490 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.