Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13071A6EEE281A83695B2C2515D9AB24FB549DFE2D083733517ACEB3C61C0DD5DC22078 |
|
CONTENT
ssdeep
|
96:tLu9lc2P6sOVM+xXZOX2kIUrbsqWDI7paqgSs8P+qf:qP6sOVbxXZU4UrbbnrgcPV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b366666626999999 |
|
VISUAL
aHash
|
c3c3ffffffffefef |
|
VISUAL
dHash
|
4d4d585858585c48 |
|
VISUAL
wHash
|
c0c0ecece4ece4ec |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
4d4d585858585c48,45e5c1a3b3b36d11 |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)