Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D5523DB9722422A08A0343E7EF3222FAF103417EDA5257DCD7698314B294CFD8951FC6 |
|
CONTENT
ssdeep
|
192:QoloB6CJ54t94MphMe5fku9cuGRmKbMpBXp7sfgg8gk:Q6oCzphj5MsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc2a55aad7a2c782 |
|
VISUAL
aHash
|
e383dfc39f9fdfde |
|
VISUAL
dHash
|
2f3b3d2f32323d36 |
|
VISUAL
wHash
|
e7818383839f879e |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
2f3b3d2f32323d36 |
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 485 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.