Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19AA3EE23426975264437C2C130BA5B7BE1A6D98BFAE70E414EDCC7F62BF9CA0741A11D |
|
CONTENT
ssdeep
|
768:ODMwtpR4nXF6YjOpSpFlTC6rrWBQ5sHD4/oqte:O7tpR4nXBKpSpFl26v3y4gIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f210614fbf13652b |
|
VISUAL
aHash
|
00404effffb060e0 |
|
VISUAL
dHash
|
9e949a3d2d69cc86 |
|
VISUAL
wHash
|
00444efffff0e0e0 |
|
VISUAL
colorHash
|
194000000c0 |
|
VISUAL
cropResistant
|
e0e0e0e0e1e0e0e0,4723327619198f07,770080606088002c,6b69d9dac6763626,2800806060e000ac,0000000000000107,f0f0f0e0e4d8e1c7,cc00a06060c000d0,495a98b12968c112,de0080a0a080004a,9e949a3d2d69cc86 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.