Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D2332C73520422BF455343CD66213F89F3D9824CCB562BEDBEF5C2A817CAD6498B2B94 |
|
CONTENT
ssdeep
|
768:sBN1eI1qWvt9rOElofZBwvZMXGWXs3JNR11rzizCgIU8EV6:EN1edEOElobwvgGWXYJNRryL8EV6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d307d48669780bfc |
|
VISUAL
aHash
|
3c7e2c00243cfcfc |
|
VISUAL
dHash
|
ccccd8c9c8d0e0f0 |
|
VISUAL
wHash
|
3c7e3c00243cfcfc |
|
VISUAL
colorHash
|
1b010001400 |
|
VISUAL
cropResistant
|
25550e065958480c,e6ccececd1d120e8,ccccd8c9c8d0e0f0 |
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 942 techniques to evade detection by security scanners and make reverse engineering more difficult.