Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E5F1FDF1D040ED3B435385D9E7B56B0B7791C345CB030A4593F882ABABCACA0CB15599 |
|
CONTENT
ssdeep
|
192:QS0q8RnfzD71U3t8iIGdglaK5M02X2y8kaEd9:Q/ny1Zyl/K0vHXEd9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ece4139b6ce443ac |
|
VISUAL
aHash
|
fffff7f3f3ffff00 |
|
VISUAL
dHash
|
08102626a6190000 |
|
VISUAL
wHash
|
e4ccc0c010040c00 |
|
VISUAL
colorHash
|
07000400038 |
|
VISUAL
cropResistant
|
04102626a6263004,72956a724936da00,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.