Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T184D184357554143E827B0BCAEF32277C61B79249C1660520B6BC8BAE6BCBD49ED23487 |
|
CONTENT
ssdeep
|
96:T0JoyQh93iT4SeNJlYgUsd5BOMML+Ngp3l/lalhG2wrKDC9SLjmRNiT0Qmo73qK+:Jyy93JlR1MLQgdl/lalNCMWNigc76K+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2d6d6525252d2d6 |
|
VISUAL
aHash
|
00ffff00000000ff |
|
VISUAL
dHash
|
c06200c4ccd03200 |
|
VISUAL
wHash
|
00ffffff000000ff |
|
VISUAL
colorHash
|
16007000000 |
|
VISUAL
cropResistant
|
8080826262c280c0,12406cf0ccccd02b,0011000010000010,23d4c0d4d0639010,c4c4f0d8d8cc3231 |
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 59 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.
Found 10 other scans for this domain