Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12DA35833411935274437C6D530A95B3BE2E79A5FF9A70A010EECD7FA1BFACA0744A11A |
|
CONTENT
ssdeep
|
1536:KkDjKZHZMLz4NP/y9svbliCdZjjp0M7FtiuCa28y2O9:5mAEjjU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
936bfd12d06dc512 |
|
VISUAL
aHash
|
00000000040000ff |
|
VISUAL
dHash
|
1c49cbc3ccccb698 |
|
VISUAL
wHash
|
c0ef61300e007fff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
000180815c588090,1c09cbc3c9ccc434 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.