Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FA55037AEC0D5A09707675CDE3DC0D8FE995F357E32218E696C5DF31818A818B82A87C |
|
CONTENT
ssdeep
|
1536:tFnQfJIQXhNC8eqkfWKwPFwqGutEqshNC8eqkfWKwFPw+cutEQiJnP6RrtH3WOcN:kfSQXhNSPGEqshNSBGEohNS5GEpx4rXS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3301b4a4e3f446b |
|
VISUAL
aHash
|
00c7c3e7f9ff81ef |
|
VISUAL
dHash
|
391f9e8f43c34b5b |
|
VISUAL
wHash
|
00c3c3c3e9fd81eb |
|
VISUAL
colorHash
|
06200000210 |
|
VISUAL
cropResistant
|
191f9e8f43434b5b,a2ae94a8d874b4a4,0418597939795804,d3d3e7e7e6f2cbce,383c8e959c9a9ecd,f8d9593930d1e266,1c58d85c545ad2c6 |
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 49 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.
Pages with identical visual appearance (based on perceptual hash)