Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C412D9F3A2A0536F4583C5BCFB62B594568ED21FDA66C4D0D2DD83A909D7CD0F911A20 |
|
CONTENT
ssdeep
|
192:sjfWUkY+jywAcQSyUZxBcFL/Ajnjtm0x6mmg:YkY+2NjaNcFCjtm0x6mmg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
880867377337738d |
|
VISUAL
aHash
|
00181818191d1f1e |
|
VISUAL
dHash
|
f3b3b3b3b3b2b2f0 |
|
VISUAL
wHash
|
00181b1b1f1f1f7f |
|
VISUAL
colorHash
|
01000240030 |
|
VISUAL
cropResistant
|
f37373737272f2f0,f3b3b3b3b3b2b2f0 |
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 13 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.