Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E39319B222552A3F100383F8C319B929A3C3E95DD773CD56EBF8831269D9C9C9D38599 |
|
CONTENT
ssdeep
|
768:5n4F2pEe7AkUalEI9uEfQ6vhW2cYY2e1f22pEe7AkUalEI9uEfQ6vhW2cYY2e1f6:+oY7C0p4m0oSDGJnDJ0rx4Z+8f |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
961c6de3c3c1d29c |
|
VISUAL
aHash
|
00001e7e7e660000 |
|
VISUAL
dHash
|
cc276cdccccc33cc |
|
VISUAL
wHash
|
00003e7e7e7e0000 |
|
VISUAL
colorHash
|
07010000400 |
|
VISUAL
cropResistant
|
cc276cdccccc33cc,5b595949a180a1a1,e6eb73b75553d606,c4ada5b588a9a9a9,4535416969610141 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)