Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C5D319743255757B3BB303B620975706F26A961FD40F8C50F3B8D89B23ACC8A9523E96 |
|
CONTENT
ssdeep
|
1536:dx5fOFjt32TQzCXFfbsQmlo2h2wV9LHd8tVPTMn57Bdluq++iX8z:doGTQzCXjUMAL98n0dH++v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec93cb38926d9a64 |
|
VISUAL
aHash
|
ffffffe3c3c3c3c3 |
|
VISUAL
dHash
|
2906290696b69606 |
|
VISUAL
wHash
|
bd81c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07403000040 |
|
VISUAL
cropResistant
|
2906290696b69606,b831131347872521,8f8d7d0d633e3d63,6e4b7d51515f5e7b |
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 47 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)