Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ABB2AC27B088922E4E8780FCEE98B766B58D9149F371C44259F5827FDB55DAC383036D |
|
CONTENT
ssdeep
|
768:ix6Vri8kqo5Du5WkdcEmzIpKC3gczvBbtMZk2hp5q62zR5MRe4gde7rKGDcUAgWD:ix6VfxbbGBN2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f3fc8c885e1f070 |
|
VISUAL
aHash
|
bf1f071f03ff7f7f |
|
VISUAL
dHash
|
327c0c7e66c9d1e0 |
|
VISUAL
wHash
|
010f0707033f7f3f |
|
VISUAL
colorHash
|
07008000c00 |
|
VISUAL
cropResistant
|
327c0c7e66c9d1e0 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.