Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T122A3DD23415975274437C2C1347A6B3BE1A6D98FFAE70A404EECC7FA2AFDCA0741A519 |
|
CONTENT
ssdeep
|
1536:B/wtpR4nXBKpSpFl26vW8hVMhjktNsryMnymciprDT0o/O:2UM78Fvcje |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9340ec3febc897a0 |
|
VISUAL
aHash
|
ff000e0e0e0e0eff |
|
VISUAL
dHash
|
23d8dc5858585803 |
|
VISUAL
wHash
|
ff080e0e0e0e0eff |
|
VISUAL
colorHash
|
03000038000 |
|
VISUAL
cropResistant
|
23d8dc5858585803,0142411100006606,81630d0923074705,7d7f7f67735f6e1d |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.