Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T192322037C1449C3752E3D1C1AB76A72FB2C1821AD9231796A3FCC39D4BEAE94DD22205 |
|
CONTENT
ssdeep
|
96:nmBidKiDTw2uL2RCgkMVV1rxcv9TxZTQBenZ8i4T5Fn9hSNdqXX5FCSV6ZfrSV06:zBD02o2LWvlvpmyQX3/V6ZfWVkCx1X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a1f67e95853622c5 |
|
VISUAL
aHash
|
868061737b010000 |
|
VISUAL
dHash
|
14398f86928f2102 |
|
VISUAL
wHash
|
c7c1f37bff430100 |
|
VISUAL
colorHash
|
31000007000 |
|
VISUAL
cropResistant
|
f4c8e6f6f1f5e578,a282a4736bac92a2,a2a2da5b65d3aaa2,a2b2aa35138aa2a2,14398f86928f2102 |
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 962 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)