Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CEE35431C6A50337D205478AE79B3B56629BD2C7CD927CE4F2A08135CBBED482C76DA1 |
|
CONTENT
ssdeep
|
3072:ylEiKJKrjylK2E6IOZuagKI3ImJS2QMIYLQICeIkPksuGIyIhuBn1aom:4xKJIQ5Ixf3N0d |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e816a7b0c88f6733 |
|
VISUAL
aHash
|
ff00008040cefffb |
|
VISUAL
dHash
|
8e317131919c3293 |
|
VISUAL
wHash
|
ff00808040cffffb |
|
VISUAL
colorHash
|
0f401008040 |
|
VISUAL
cropResistant
|
10024f0b104a91b1,a636723869f4f251,7131b1909c0213b3,04829c8c8c9c9200,31717131b1b1949d,f0fbf7f37ccff9fe,9f8d0d8c8f232264 |
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 119 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.