Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T130A3BE23421935274437C6C0347A5B3BE1A6996FFAE70E011EECC7FA6BF9CA0745A119 |
|
CONTENT
ssdeep
|
768:PtpR4nXF6YjOpSpFlTC6rrMP4dpAEiq3uq/X:PtpR4nXBKpSpFl26vMsAXqf/X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9212ec6d799253c7 |
|
VISUAL
aHash
|
00002c0c0000ffff |
|
VISUAL
dHash
|
166c69c9c9c32416 |
|
VISUAL
wHash
|
00043c2c3f03ffff |
|
VISUAL
colorHash
|
32000030000 |
|
VISUAL
cropResistant
|
020080e060600042,0200006060600042,020000e060600042,820080c0a0800082,00ca2426c2961696,1ae46c69d9c9e3cf |
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.