Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T137F22C23D244633A5BC313EC7A306364F75AA066C5320B11D4AAC75C2BD6CECE97A6DD |
|
CONTENT
ssdeep
|
768:c/SaaLNIIax8z7axb1zJmUcdUx57quhBBFHYIHxB9:c/SaaJIIDz7ozHWUx57quhh4An |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6966939b4b496a6 |
|
VISUAL
aHash
|
66347e7e243c0070 |
|
VISUAL
dHash
|
d4ccecd4ccd0d0d0 |
|
VISUAL
wHash
|
ff347e7e243c0070 |
|
VISUAL
colorHash
|
38400082000 |
|
VISUAL
cropResistant
|
8484246434322c65,176e6c938bc94999,d4ccecd4ccd0d0d0 |
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 4271 techniques to evade detection by security scanners and make reverse engineering more difficult.