Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T161D25135A0A0667F1397D2EAA7627F15E3E8829BC7578B50B3F8C32F4AD5C94CC52160 |
|
CONTENT
ssdeep
|
384:hpe6QZDqgHYFQ48uVsLb98ionvAEpvWvAEpDSHYIn65LSES:h2Dqgo1Vs98iovJpvoJpr+H |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
949869e396b4e9c9 |
|
VISUAL
aHash
|
ff18183e3c380000 |
|
VISUAL
dHash
|
2261f0f4e0e0ace4 |
|
VISUAL
wHash
|
ff3c183e3c3c5e00 |
|
VISUAL
colorHash
|
30c00010000 |
|
VISUAL
cropResistant
|
0000303020004022,6271f0f4f0e0ace4 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.