Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AFB3DE27425976174437C3C0347A6B3BD1A6998FFAE70A004EDCCBF62AFACA0745A15D |
|
CONTENT
ssdeep
|
1536:PLatpR4nXBKpSpFl26v8tU1pZkJoXZs7JP:PLOUMrUXC+XZSP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
82ea1c7793357962 |
|
VISUAL
aHash
|
1c79717e7e04001c |
|
VISUAL
dHash
|
f0e5e5eccc6df4f0 |
|
VISUAL
wHash
|
1c79717f7e101c1c |
|
VISUAL
colorHash
|
0a0060000c0 |
|
VISUAL
cropResistant
|
e0e0e5c062c0c48e,ff0ffbf7fce0c083,c00080d0c08200e2,fbc4ad65f4e4fc80,c000a060608000c0,8200a06060800094,b60084a0a0a40075,9d9d8ab6b6b6b2a0,dcd2d0c0c8e2f0f0,f0e5e5eccc6df4f0 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.