Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1158274237184863B0F8B01FCEFD9A7AB725E8049F3318A8525F4819E9740EDC557679E |
|
CONTENT
ssdeep
|
384:rJws6lt6kFWnINqjbl8k8U5fFL2lk4W7guoreRuz9UtBbakUfMmUFCoF:rSz3rrNSbl8k8U5fFL2lk4W7gueehtBD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bd2d6cc4cd399192 |
|
VISUAL
aHash
|
81818181ffffffff |
|
VISUAL
dHash
|
330f1f1b371e3e3e |
|
VISUAL
wHash
|
81818181ffc3cfcf |
|
VISUAL
colorHash
|
17e00008000 |
|
VISUAL
cropResistant
|
330f1f1b371e3e3e,6830888a9a9a9a5a |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.