Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T100932AB43A58F5625AF343A310AF1503B379552B940E4D20B350EC9E76BCC9BA067FDA |
|
CONTENT
ssdeep
|
1536:S5Z2XXFfbsQmlo2h2wV9LHd8tVPTMn57Bdluq++iX8z:RXjUMAL98n0dH++v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec9391e4946c9b69 |
|
VISUAL
aHash
|
ffffd1f1f1f1f1d1 |
|
VISUAL
dHash
|
376a232323232333 |
|
VISUAL
wHash
|
dfff818181f1d181 |
|
VISUAL
colorHash
|
06200000180 |
|
VISUAL
cropResistant
|
376a232323232333,a9a9e9aaa6c0c0cc |
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 94 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.