Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14A8278607808E81D05DF5DC854F26B2D92FF4391F9124A8AF9A283F55FDBE69C173980 |
|
CONTENT
ssdeep
|
384:qvlWRyYGs444ew2ouK8/B6+nEC45TtWegDzG:ZRGs444epG8pbMEeg3G |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccccec6313969c9 |
|
VISUAL
aHash
|
383c990000000000 |
|
VISUAL
dHash
|
2269321f36062616 |
|
VISUAL
wHash
|
383d99c3c3c3c3c3 |
|
VISUAL
colorHash
|
07600000001 |
|
VISUAL
cropResistant
|
b28c8e86cd396969,2269321f36062616,e479596b334469f7 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.