Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T150B3ED234259762A4437C3D0306A5B3BD1A7D99FFAE70A011EECCBF72AF9C90741A519 |
|
CONTENT
ssdeep
|
1536:1StpR4nXBKpSpFl26vf0ZdlMrZy8EIPIeZgS:wUMB048EIpZgS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93176d0313137f2d |
|
VISUAL
aHash
|
001f0f3e6f0f01c7 |
|
VISUAL
dHash
|
dcbf78dcdcd8b30f |
|
VISUAL
wHash
|
000f0f3f7f0f01e7 |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fdb77cdcdcb9f30f,dcbf39dcdcdcb377,88535393251bc9c8,4e0f914123464e4a,68000c32320c21d4 |
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.