Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11AC2D87270109E3A456359E472FA874333E6E384DA87124593FD83FD0BEAC64BB27646 |
|
CONTENT
ssdeep
|
384:CxDnskvlX9YIo/R5W5Tv+GB7LOMv9bFnPky2ZKHTpOLeSJR3r/5CIPqQ:CxDnTMRcTGGB7LllRnBULeE3r/Rt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bd3ad541c58654b9 |
|
VISUAL
aHash
|
fa8b8fbbf900cffe |
|
VISUAL
dHash
|
623b3d2333c33f32 |
|
VISUAL
wHash
|
b8818f99f9008ffa |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
62331b39253323d3,1000371e67161a32,000834b4b6160800 |
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.