Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T196C3B571F220315E5633C3CA75A2DF8EE223F58CDB32A258EE90912F66D5CB64C259C5 |
|
CONTENT
ssdeep
|
1536:QL3cCr1Zg7mTU95qtxCm9WPQaBJRLULBXYuwtGpgl2+Z1u8s2ujDN4h6sGUS01Qg:CTzw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b735501077c4d49f |
|
VISUAL
aHash
|
c2833f832756fffb |
|
VISUAL
dHash
|
9e55446749a4a62b |
|
VISUAL
wHash
|
4681bf81a756a7a9 |
|
VISUAL
colorHash
|
07200040002 |
|
VISUAL
cropResistant
|
9e55446749a4a62b |
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 285 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.