Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14FF261B2D55085330673C6E5F276AB5BBA80C189CA830291D2F8936D27CEC77FE56349 |
|
CONTENT
ssdeep
|
768:TH6FPzwV2TVakh6hshhVUZ8mIhOACh6hWVixjIKo8kovkovkovkovkoVkovkovkV:mhHTYkh6hshcZ8/h8h6h7xMKo8kovkoS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cfcfc3343232b0cc |
|
VISUAL
aHash
|
ff3c3c0010000000 |
|
VISUAL
dHash
|
6970714d61716969 |
|
VISUAL
wHash
|
ffff3c3038181834 |
|
VISUAL
colorHash
|
390000001c0 |
|
VISUAL
cropResistant
|
33337352b7ab9ab6,6970714d61716969 |
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 49 techniques to evade detection by security scanners and make reverse engineering more difficult.