Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11DB196F37B083161470352A9391C22CCCBDF5A4E73818A9854FC52AD5269D18C377FB5 |
|
CONTENT
ssdeep
|
96:9vW5vPQ1C/o1YRR1ct1Y1U1Wh7vW5IU++Sn+Zbpsw4LZATIdmTSnA:EJPQ1Cg1+1ct1Y1U1WhyJtS+8CI4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cce3638195b96c3c |
|
VISUAL
aHash
|
f8f0d0de9ed8d8d0 |
|
VISUAL
dHash
|
c2c0b1b2b0b2b3a0 |
|
VISUAL
wHash
|
f8f0909e9ed8d8d0 |
|
VISUAL
colorHash
|
100010004c0 |
|
VISUAL
cropResistant
|
c2c0b1b2b0b2b3a0 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)