Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FD3295F74414582A02A7A3D8EF656B6D30CFD20EDB431A4002FC87AD6BC7CD5E99706A |
|
CONTENT
ssdeep
|
192:RwPUWC+7WO3FIiT+6hSh1hu7TuYkqHbJ7tnPE4fohhVI:ReUWC+7WOhT+6MnA9HbMs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f8e8070be8aae8f8 |
|
VISUAL
aHash
|
0180c0c0c0c00000 |
|
VISUAL
dHash
|
43a021a8a0804000 |
|
VISUAL
wHash
|
f1f0f0f0f0f0c0c0 |
|
VISUAL
colorHash
|
38c00000080 |
|
VISUAL
cropResistant
|
8686ad9bb87a2eb3,43a021a8a0804000 |
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)