Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T166235A726332B4B843DB91EEE7382D56B2D2888DF8CB4554F5C95A8D13C3C912297BB4 |
|
CONTENT
ssdeep
|
768:a7AbGqv+EsZx8/G8FY4QqDawmhMSBowxMSBBwZqN2/y9dGDTDiJE56ITmH+LCBlf:a7AbGqv+EsZ/8FLQqDawmhMSBowxMSBt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9212eded499b9a38 |
|
VISUAL
aHash
|
0000040000ffffff |
|
VISUAL
dHash
|
828c9cc8aa000000 |
|
VISUAL
wHash
|
e2040c0400ffffff |
|
VISUAL
colorHash
|
1e000e00000 |
|
VISUAL
cropResistant
|
0000080c0c0c0008,1f5fceace6ced060,0000000000000000,92ceac9cc8a888a0 |
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.