Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T193F1743640142C3515C3C2D0BAE2BB8AA3F6D5ABCA430A4772ED835817DEDE9D81718B |
|
CONTENT
ssdeep
|
96:pqXJMpf/H+pqf573Z1EZsI0sigxi8jcsu+jxQhd1515:pqXJM1/H+gf5l1rfLgxVuI+hdHH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b99fb64a96944b06 |
|
VISUAL
aHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
dHash
|
181bdb989b9b9c9b |
|
VISUAL
wHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
a18c8ea09696e1ad,18126d2d094d65a6,888296a68282c280 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.