Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12BA2B1B4A155297709C38BF2B331AB5BE391C785C61B8604A3F8824F3FCAD51CD525AA |
|
CONTENT
ssdeep
|
384:9YlpV4n2Lb0W0xV4MifuV4nCuESUessHrNqWPo9NKwOXo9zvZIuS:w8er0nifjC2ZaE4zv2uS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e53c3c902d96c7 |
|
VISUAL
aHash
|
02207c686c00000c |
|
VISUAL
dHash
|
b6c9c9d2c92cc2ed |
|
VISUAL
wHash
|
76787c786c003c7e |
|
VISUAL
colorHash
|
38208038000 |
|
VISUAL
cropResistant
|
22270a3635353469,008254332b5ba400,b6c9c9d2c92cc2ed |
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 3610 techniques to evade detection by security scanners and make reverse engineering more difficult.