Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1271275E1D468ED33071286D1B7B27B2BB2A2C749DB020D9076F4837E5BCEDA0C61599D |
|
CONTENT
ssdeep
|
192:QnlIqx7GTZY+jiDiiEZinzYhhfx7UuP8iIowy6JJ7pz5XM3FElU8F:QlIqVeY+jiDiikizGfVU81TwPJ7k3iae |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3718ccc86f601f9 |
|
VISUAL
aHash
|
ffcfc7c7ffffff3f |
|
VISUAL
dHash
|
281e1e0e104000d0 |
|
VISUAL
wHash
|
00c3c3c3f0f0f030 |
|
VISUAL
colorHash
|
07c00008040 |
|
VISUAL
cropResistant
|
281e1e0e104000d0 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.