Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19E3518EC67A412E8E949C7E8E772A474361B70FFAFC18B64C2984F64E5624ADCC45CC1 |
|
CONTENT
ssdeep
|
3072:TrOZ1+Z2uOYGVROBQKO1X9Z1k329OBQKOQaYHm3WC7knNpGMZ33N9pOAExCug:TrbPBikhB/mBYCHg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ccd93366661399cc |
|
VISUAL
aHash
|
00183c3c3c183c04 |
|
VISUAL
dHash
|
2933f2e064b2ccd4 |
|
VISUAL
wHash
|
00187e7e7e187e3c |
|
VISUAL
colorHash
|
30000018003 |
|
VISUAL
cropResistant
|
942624f83a35b3bd,2933f2e064b2ccd4 |
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 207148 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.