Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151C2EA31B140763B129782D9B751631EE2F38249EF4A0914A2FD835E47E7E64CB7362B |
|
CONTENT
ssdeep
|
768:8ny5NQiX4Lh3ikWKJ7miqlT67sOy2+y9BH4cLIe:5X4LhoB67sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ec3c3c44c4e2e |
|
VISUAL
aHash
|
fb87819f9fcff9fe |
|
VISUAL
dHash
|
6339373735153390 |
|
VISUAL
wHash
|
b387818b8d89c1fe |
|
VISUAL
colorHash
|
07030000200 |
|
VISUAL
cropResistant
|
6339373735153390,b9b83c1b5b6d2d4d |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.