Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FB1432359D02A83713336CDA7566BB0570D7C10EE7072A81A2F88F89CFE7DADA0556C9 |
|
CONTENT
ssdeep
|
1536:FsW88l9RoRMRYRaRhRoRRVCfTuCaV1+BdpE0g015LcKLg94aXOD0Rrat0+4l0+4M:qW888VATbpEv0Ta/W0ctQt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c12fb0c9e23e0bea |
|
VISUAL
aHash
|
007e00007e7b427f |
|
VISUAL
dHash
|
dbdad0a28ad29298 |
|
VISUAL
wHash
|
017f00007e7f4aff |
|
VISUAL
colorHash
|
18200208008 |
|
VISUAL
cropResistant
|
fc6cf435b73149b6,d8d4a55d1d7bab2c,d3d425337366d6e9,97a9bd61c7d7d4d4,1111198f8f4edab2,a22622244664a4d9,9632766676b8b3e1,e6c6c6cb3a9273ea,3598898e86a43534,dbdad0a28ad29298 |
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)