Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T150F31AED23209EDD048B83F5BF2462D8A38AD66DCB570D45D2FCCB5926D2CBC9D29181 |
|
CONTENT
ssdeep
|
1536:DmnmKGqixiW0OnThZYnQNJuCifWMTTynONw+K22VRwdneNAoDyBbqqx8dkAooHpA:pABRgP4pD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96cc6d279689c399 |
|
VISUAL
aHash
|
00007e7e7e660000 |
|
VISUAL
dHash
|
6507ccdccccc178c |
|
VISUAL
wHash
|
0101ffff7e7e0000 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
6507ccdccccc178c,abe207894f4e4a58,7392503624d62808,4541057969690145,4141714d4d714901 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)