Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19193F8F51245677F104383F0E328A62EA395DA89DB338D52E3F88327E5D9CEC9E24495 |
|
CONTENT
ssdeep
|
768:v4T48vWMo4OBQkZG8TQWrNOuUU4KuNBRT48vWMo4OBQkZG8TQWrNOuUU4KuNBLSq:SHdSh0Igd0NFPUbKCO/HX0iOn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ce7c3f0189698 |
|
VISUAL
aHash
|
eb939f9fdfffffff |
|
VISUAL
dHash
|
4b2f3531b575300d |
|
VISUAL
wHash
|
80801c1c5c1cffe7 |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
4b2f3531b575300d,5a9989cbcd4d45e5 |
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)