Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F7522AB5F21421A59E0343D7BD3123AEF21791AEA9235ADCE395C25872CDDEE8830DC1 |
|
CONTENT
ssdeep
|
192:QoEoB6CJ54t9CDSxf/7JIku9cuGRmKbMpBXp7sfgg8gk:QJoCHxnFTsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a7e25d88dd08dd92 |
|
VISUAL
aHash
|
fbe7e7e7e727033e |
|
VISUAL
dHash
|
82ccccccccced77a |
|
VISUAL
wHash
|
dbe7e7c3e703000c |
|
VISUAL
colorHash
|
07006000040 |
|
VISUAL
cropResistant
|
82ccccccccced77a,71824153503d45c5 |
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.
Pages with identical visual appearance (based on perceptual hash)
Found 1 other scan for this domain