Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1623429C8677595F6E407D3FCE7223434303161FED7128254CA692E18A7A2AF8AC6ECD5 |
|
CONTENT
ssdeep
|
1536:h+nZiDWM1BVAxNMBVAxNsBVAxN1BVAxNlgdayN3zq3Qd0ztYzEtzvBzuFzsXcPaL:h+nZiDWMy67/5J |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93e16cce31d39a64 |
|
VISUAL
aHash
|
003c3c3c3c3c3c00 |
|
VISUAL
dHash
|
1760f8d97871793e |
|
VISUAL
wHash
|
003c7e7e3e7f3c00 |
|
VISUAL
colorHash
|
07030000200 |
|
VISUAL
cropResistant
|
e25a1a1adc7a30b0,1760f8d97871793e |
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 2073 techniques to evade detection by security scanners and make reverse engineering more difficult.