Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T108156DD8B380B2755A5747F8D03B381AB37E206E78488954F264CAD0BEDE5D88277E5C |
|
CONTENT
ssdeep
|
6144:O7wKD4Lnr3zoenlI3Sn4rd8xpOp2WgNbHUJ4flqExRRhYMKfcPcG5:Gyl4dmOdJ4flqwGeV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b643cebd0cc2cd2 |
|
VISUAL
aHash
|
000000ffff09bc0a |
|
VISUAL
dHash
|
23c42470d9bb5930 |
|
VISUAL
wHash
|
000000ffffdfbd8a |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
23c42470d9bb5930 |
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 279 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.