Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14F336C726731B8A883DF51EEE7382D49B2C6599DE8CB4550F1C996CD23C7C902287BB4 |
|
CONTENT
ssdeep
|
1536:af+EsZ/8KlDVR0MQBuRtMQBnDrpRXPZlQaQD9OehM+BrUgq4z:awrRxRJDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb91e56ce49195c4 |
|
VISUAL
aHash
|
818d8d8d81818181 |
|
VISUAL
dHash
|
595d5d5941514951 |
|
VISUAL
wHash
|
ffafaf8d81818181 |
|
VISUAL
colorHash
|
3ae00400000 |
|
VISUAL
cropResistant
|
595d5d5941514951,343038383cbc9c99,fef9f1e1f1e2e4e1,d8d8dad8c199d9c9 |
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.
Pages with identical visual appearance (based on perceptual hash)