Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DAE1FFE0D515ED3B4762C2D5A7B56B0FB6D1C349CF020944A3F883AF6BDAC50CA2269D |
|
CONTENT
ssdeep
|
96:Tkf+OYReSTJ8v678AL6tchkd3wvF/eVX/HFceFX5X/x2YqMAOpHST5J:Qf+OYx98iIKhkdB15fXIRdOpyb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f5df51fe008a063 |
|
VISUAL
aHash
|
1818183c3c1c18ff |
|
VISUAL
dHash
|
707030717079790d |
|
VISUAL
wHash
|
1c3c3c3c3c1c18ff |
|
VISUAL
colorHash
|
03600010000 |
|
VISUAL
cropResistant
|
e2e0a2a0a22226be,4d00040000000000,7070303171687169 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)