Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16B835CF5A545F92341B344D270AF8247B37E440FB80D48A0E29CC7CA73E98A669777E6 |
|
CONTENT
ssdeep
|
768:6T0TQH7YFanUxQ4hJibQ0MaW++/yG6iMIAA3y2ayYkss1xrXfFphhCMfjbBdll8d:RhQPph1b2YMra1ekafMu2RgzQ2N0msQw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c5153c3cf139e43c |
|
VISUAL
aHash
|
003c767f7e3000ff |
|
VISUAL
dHash
|
b2e0c6cacae4e0c8 |
|
VISUAL
wHash
|
003c767f7e3000ff |
|
VISUAL
colorHash
|
10000c00000 |
|
VISUAL
cropResistant
|
fc9ca4e4e4ce36f7,f0f0f0f0f0e0b0f0,1169c9cd31000501,b2e0c4cacae4e4d8 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.