Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182234A726322B87893DB91EEF7382D56B2D2589DF8C74510B1C95ACD23C3C846297BB4 |
|
CONTENT
ssdeep
|
768:aEk9S+EsZx8/G844HDawLBMLBjwlMLBFwZUcix+y9dQpUDF1E56ITmHDLBABW8K6:au+EsZ/8rHDawlMLBjwlMLBFwZUXx+y6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fa6a8695816e3995 |
|
VISUAL
aHash
|
81818181ffffffff |
|
VISUAL
dHash
|
495171510937153b |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
495171510937153b |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.