Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T135235B726722B8A843DB91EEE7382D56B2D5589DF8C74410F1C95ACD23C3C816297BF4 |
|
CONTENT
ssdeep
|
768:a6+EsZx8/G8y45DawCMxBBow/MxBBBwZqN2/y9dGDTDiJE56ITmH+LCBlvNPqDv+:a6+EsZ/8F5DawCMxBWw/MxBnw0N2/y9X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
870ff8f82724f0f0 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
e9e9e9eded000100 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
03003000180 |
|
VISUAL
cropResistant
|
08000c0c0900ffff,6500000000000000,f9f9e9e9f9ededed |
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.