Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1991243E1D468DD32075346D5B7F17B1BB3B2C688CB02098022F4837EABDEDA187519AD |
|
CONTENT
ssdeep
|
192:QiqTZY+jiDiiEZinzYhhfUuP8iIeWJXp3XgzUElU8F:QiCY+jiDiikizGfU81/Y5Sxa8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
807e83fe00fc81fe |
|
VISUAL
aHash
|
ff00000000ffffff |
|
VISUAL
dHash
|
08109830200000d0 |
|
VISUAL
wHash
|
ff00000000ffffff |
|
VISUAL
colorHash
|
03000038000 |
|
VISUAL
cropResistant
|
00000c2c28080010,00000000000000d0,2018181010303040 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.