Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16BF2B624A2547B37019391D4FB9A07A637D48288C7738B7462FCC3999BCAD5EDD33189 |
|
CONTENT
ssdeep
|
384:MUHxvfMGp0L9NeZyVZwDLtrEAA2sTVCIs4m8A6abCQ7llZcwo5HNUpeMdlevxGSV:nxvfOHEyVstgQ4pabj3Zcb5tUpxq3V |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec689b1b3cf448e2 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
39e3a7a636fb0f6f |
|
VISUAL
wHash
|
0001f0f3820bffff |
|
VISUAL
colorHash
|
0a000000078 |
|
VISUAL
cropResistant
|
93480f134c6c4b27,2973a786a62672f9 |
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 20587 techniques to evade detection by security scanners and make reverse engineering more difficult.