Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D313BC329441DC7710E3EAD4A5B8931F63AAD71BCD030B83A3F89B9D5BDAD85ED22111 |
|
CONTENT
ssdeep
|
384:8+2M/8xfsdbdsM/8xwvA9/KKOR7PrBkL8PKz+mbPrxi:8S/8xfg/8xr9arB3KKD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f04e43179397cce4 |
|
VISUAL
aHash
|
2040d1cfcfcfcf4f |
|
VISUAL
dHash
|
c487371890909090 |
|
VISUAL
wHash
|
2000d1cf4040c0c0 |
|
VISUAL
colorHash
|
00007000000 |
|
VISUAL
cropResistant
|
c487371890909090 |
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 71 techniques to evade detection by security scanners and make reverse engineering more difficult.