Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BDA251709040E53B01ABD3E593B6AB4A73D242A5C7734B4293F88B5D6FDBD96DC2220D |
|
CONTENT
ssdeep
|
384:m2/P5xCH8US9/EVuAiCHIujvuj9ujlujwujwobluFJ:mihENIEUtCoujvuj9ujlujwujw4uFJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93d22d6c2cd2b9d1 |
|
VISUAL
aHash
|
046c6c2c20203c03 |
|
VISUAL
dHash
|
ddc8d9cdc8c3d4d3 |
|
VISUAL
wHash
|
7c7c7c7c70307c03 |
|
VISUAL
colorHash
|
382010000c0 |
|
VISUAL
cropResistant
|
a2a0b0b1bababab8,92805a58aa2a80a2,ddc8d9cdc8c3d4d3 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.