Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14E714161C015AC334213E2F46AE47A4B3687C6058BC729485AF4C3BD2DF3D59DEA632C |
|
CONTENT
ssdeep
|
48:TrJCJVVhmv+Jhhzfed9efNTOV0Ya26YXAPy9uiTyXHZk/XPGSXQ37ILMu8ynBLPd:TSVbUafNHbBy9uimpWfArYMu8SFxu6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83fefd01010327fe |
|
VISUAL
aHash
|
3f3f3f3f3f3f3f3f |
|
VISUAL
dHash
|
d0ccccd8d0d0d0d0 |
|
VISUAL
wHash
|
3820203800000000 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
8098989080808080,f184acb6b6ac84f3,0e71710e20000000 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.