Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AAF120E1C415ED3B432786D5BBB62B5B77D1C349CF02094493F883AF5BCAC90DA22999 |
|
CONTENT
ssdeep
|
96:Tk3JpzDxLST2EWhUSPRr8v67GvrSFQGhF+uX2CYrGhluqXfCY+/Hcu7mSTyR:Q3JpzDx2kB8icyQG6CyG3Ch0u7Dk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b2b64ccd1999391b |
|
VISUAL
aHash
|
ffe7e7e7ffff0000 |
|
VISUAL
dHash
|
a04d4d4d28000800 |
|
VISUAL
wHash
|
ffc3c3c3ff6c0000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
a24d4d4d4d300400,a2a2a2a2a2a2a200,01a2a2a2a2a2a282,888833c4d4ccd433,0000000000000000 |
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.