Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14E55037AEC0D5A09707675CDE3DC0D8FE995F357E32218E696C5DF31818A818B82A87C |
|
CONTENT
ssdeep
|
3072:ppfDoQXhNSPGEqshNSBGE3hNS5GEKlvX5:ppfEQPF1J |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e334135b1b1c6b36 |
|
VISUAL
aHash
|
00c3c3f7fff9ffff |
|
VISUAL
dHash
|
390787042b2b2d0c |
|
VISUAL
wHash
|
00c3c1e78781cff7 |
|
VISUAL
colorHash
|
06018000018 |
|
VISUAL
cropResistant
|
390787042b2b2c0c,0418597939795804,8f1b6b7332292b1b,34b496f354929235 |
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 81 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.