Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11455157AEC0C5A09707675CDE3DC0D8FE995F357E72218E696C5CF31818A818B82A97C |
|
CONTENT
ssdeep
|
1536:SIrS2fBg8chNFteqTMW6wlD6xHWt0q7hNFteqTMW6wL96NVWt0FiJnP6Rr973iWj:3RfS8chNQDu0q7hNQlu0ghNQ5u0CS8X6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e3331e4b5b1c136c |
|
VISUAL
aHash
|
00e3c3e7f9ff91fb |
|
VISUAL
dHash
|
390f8e9f434b3737 |
|
VISUAL
wHash
|
00c3c3c3e9fd81db |
|
VISUAL
colorHash
|
06000600010 |
|
VISUAL
cropResistant
|
190f8e9f434b3737,0418597939795804,9c9e998dad8b9a96,7b757d7d7cdd9386 |
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 79 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.