Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12123C778425143BBD0D386E4F762BF2F72A6AF19CB1744A4F3EC83662396D89DC51290 |
|
CONTENT
ssdeep
|
768:Zky6E8CRyQyOyyyMyuye5TXLoDvN1ctb/KOGqzEqv:iHE8Cxu4xzEqv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eca692d94bc23cac |
|
VISUAL
aHash
|
ffff93f1d1d0ff00 |
|
VISUAL
dHash
|
4966276333230c0f |
|
VISUAL
wHash
|
fef391f0d0d0fc00 |
|
VISUAL
colorHash
|
06006000000 |
|
VISUAL
cropResistant
|
496626233333480c,1971b13736b62c2c,8c8819191a3a5a18,0000000000000000 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.