Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15E143335AD02A83313335CDA7166BB4570D7C10EE7072A81A2F88F89CFE7DADA0556D9 |
|
CONTENT
ssdeep
|
1536:KsW88wcR0RwRsR0RhRmR2ynTuCdV4+BVpwpAELcmgLVOEgHak4j4n:FW88zKTXpwL6e |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c13eb4c96a2f6962 |
|
VISUAL
aHash
|
007e00007c7a427e |
|
VISUAL
dHash
|
dff4c4a38ad29298 |
|
VISUAL
wHash
|
017e04007e7f4aff |
|
VISUAL
colorHash
|
18200208040 |
|
VISUAL
cropResistant
|
a9686cfcfefecae8,fc6cf435b73149b6,d8d4a55d1d7bab2c,d3d425337366d6e9,97a9bd61c7d7d4d4,1111198f8f4edab2,a22622244664a4d9,9632766676b8b3e1,e6c6c6cb3a9273ea,3598898e86a43534,dff4c4a38ad29298 |
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 154 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)