Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T139F34351BB52383930AF52CFC22B574C22C2E7CFD6952BE165F05231A5B6CA4BED22D4 |
|
CONTENT
ssdeep
|
1536:QLkgE7ohc9g7a6QHkHRxuGxm03xaMZ4pvLmE8fLhRpjVx64Eal66fsbgWhZ:QLj7t0mE8fLX4v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92946d2db2f2f02d |
|
VISUAL
aHash
|
00187e6e2e0e0000 |
|
VISUAL
dHash
|
b230acccccbcb3b1 |
|
VISUAL
wHash
|
18187efe7efe1800 |
|
VISUAL
colorHash
|
39006000001 |
|
VISUAL
cropResistant
|
f0e0d2a68c9ae0f0,b230acccccbcb3b1 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.