Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AF234B726732B86843DB91DEF7393956B2D6588DE8C74410F5C99ACE23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:abeMG+EsZx8/G804IDawEM/BywGM/BMUcix+y9dQpUDF1E56ITmHDLBABW8KPqD4:aw+EsZ/8vIDawEM/BywGM/BMUXx+y9dB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
af9d91c4f0d1d4c1 |
|
VISUAL
aHash
|
8181818181818181 |
|
VISUAL
dHash
|
7971697145454145 |
|
VISUAL
wHash
|
ff89898181bdbd81 |
|
VISUAL
colorHash
|
11007000000 |
|
VISUAL
cropResistant
|
7971697145454145,b3696933c0c4c0c0 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.