Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T149335A36E729787D53DB41DEFB3C2A92B2C28498E9D24564B4C8929D13C3CC16297BB4 |
|
CONTENT
ssdeep
|
1536:a/A8+EsZ/8pLOBHwPDVS+M7BWSOM7Bu3Uxx+y9dQyDF15KOhqovhek:aEIOBHuSqSK3UxxpDzHEk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3f343038c08c9f |
|
VISUAL
aHash
|
8787bfdf8fdfffff |
|
VISUAL
dHash
|
3d6d711539363526 |
|
VISUAL
wHash
|
87879f8181939f93 |
|
VISUAL
colorHash
|
07008000c00 |
|
VISUAL
cropResistant
|
3d6d711539363526 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)