Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AF622C7DB21823708E4343D6EF6126E9B21341BDC7522B9CD769C208B2999EDC9519C7 |
|
CONTENT
ssdeep
|
192:QoLoBZJ5I9VmdpHmw+xwFagN0NjoJ308Mu9cuGRmKbMpBXp7sfgg8gk:QWoWgdpHmHGFagN0JoJ3OsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9a4922d6d2c7ab2 |
|
VISUAL
aHash
|
81fff9f19191fffc |
|
VISUAL
dHash
|
51cc115353333319 |
|
VISUAL
wHash
|
00fff9b181819bdc |
|
VISUAL
colorHash
|
07000000380 |
|
VISUAL
cropResistant
|
51cc115353333319,0008103030100810,6e6c5c5f5dd70713 |
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 488 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)
Found 3 other scans for this domain