Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T155D143D1D414DD37071285D5E7FA6F0BB292C74ACB031940A7F883ABABDACA0CB2559D |
|
CONTENT
ssdeep
|
192:QTnd5TZblZnzewkGJ6JTNyrZhVlz+LrZ3:QTndHbzzvlGTNCZhG/Z3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6c7c918c7619666 |
|
VISUAL
aHash
|
ffc3e7e7e7c7c3ff |
|
VISUAL
dHash
|
70060f0e0d0f1706 |
|
VISUAL
wHash
|
00c3c7c3c7c781f7 |
|
VISUAL
colorHash
|
06000000030 |
|
VISUAL
cropResistant
|
70060f0e0d0f1706,80504c3333334911,4c7a1a3a304c7474,9191f1e5e5c5c3cb,000800043a780313 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.