Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117B163309018AD190253D6E5BBF0670FD696C74DC7021AC4A6F9936E1FDAEC0DC592E8 |
|
CONTENT
ssdeep
|
96:Hv+RtNPzTCvq0HIKvVrAi8oA1tZcAKv/BvlPYXv13cXobb:HWRfuPxN82Ybb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd4d4d5c5c1c1d59 |
|
VISUAL
aHash
|
00e300ffffffffff |
|
VISUAL
dHash
|
b206582800040086 |
|
VISUAL
wHash
|
00000022ffffffe3 |
|
VISUAL
colorHash
|
07200030080 |
|
VISUAL
cropResistant
|
b206582800040086,0000000000000000,4040404040404040 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.