Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A43102206059A93791E395E4FAE8AB2B24D3C349CB531701D6FD53E90FDAD4ACF17160 |
|
CONTENT
ssdeep
|
24:hOC06DjJhB+x3AMSn78zEXZGqn/2NiJ+fngE430a:4GtIM8zRI/iftsz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333333399999b88 |
|
VISUAL
aHash
|
e7e7e7ffe7e7ffff |
|
VISUAL
dHash
|
4d4d0d104c4d000c |
|
VISUAL
wHash
|
2020040427270f0f |
|
VISUAL
colorHash
|
072000100c0 |
|
VISUAL
cropResistant
|
4d4d0d104c4d000c,f0f8d45a6dc9f179 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.