Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12883B5385246257FA10F4AF1F575AB7DA0EA839DDB13884CF3BC42E12BCAC85DE56250 |
|
CONTENT
ssdeep
|
1536:OQIrwWWwksY913ea8cqNpunqRQN9m9H9Y9sWPmOBbxbtw:gAg9SeWPmOBbc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
91356e607595b517 |
|
VISUAL
aHash
|
02000f4e6e7e7e00 |
|
VISUAL
dHash
|
b6fb9e9e9898c890 |
|
VISUAL
wHash
|
02030f6e7e7e7ec0 |
|
VISUAL
colorHash
|
08000400038 |
|
VISUAL
cropResistant
|
fefffffffffffffe,aaaa6ad4907aa6aa,b6fb9e9e9898c890 |
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 546 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.
| ID | Português | Inglês | Trigger |
|---|---|---|---|