Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15F234B726322B8A883DB92EDF7382D56B2D6489DE8874450B5C95ACD23C3C817197BB4 |
|
CONTENT
ssdeep
|
768:aQ+EsZx8/G8sRF4bDat8iMmBPIt8xMmBPE7Ucix+y9dQpUDF1E56ITmHDLBABW8L:aQ+EsZ/8WObDat8iMmBPIt8xMmBPE7U4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf68d0f0d5d0d4c4 |
|
VISUAL
aHash
|
81818181818181bd |
|
VISUAL
dHash
|
7979697d4d5d5d7d |
|
VISUAL
wHash
|
bf81818185878fbf |
|
VISUAL
colorHash
|
010060000c0 |
|
VISUAL
cropResistant
|
7979697d4d5d5d7d,fcccdcdcdcdcdcdc |
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.