Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T145C2C636B08CB93F426382D5F7A5770FB2B5F34DC385878099EC827117C4DA9E85A299 |
|
CONTENT
ssdeep
|
768:9eeegnK32n2K9C3hB6mKPNlmeC8Oikpqv00:OPemn6m+DdNkpqv00 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ad565333d22dc5d0 |
|
VISUAL
aHash
|
00fcfbfbff0303ff |
|
VISUAL
dHash
|
4954b637bb530b03 |
|
VISUAL
wHash
|
0000f3fbdf0303ff |
|
VISUAL
colorHash
|
17000030000 |
|
VISUAL
cropResistant
|
b0b657b3bb4b1b03,4048424949424840,71757939592d3153,0000006021101008 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)