Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T101F2B630818056279A3768D9F4735F1971E7A30DCAA3092E53FC8BDA6FD1C649D3A06A |
|
CONTENT
ssdeep
|
768:0p70IIa70xU/qrBKpbH2VFNRRbae+YIAIRFBMOJsPh8xsK3K:y70IIa7HWwpToFNRJIRbiPh8KK3K |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9642ad6916b6719b |
|
VISUAL
aHash
|
000024060440ffbf |
|
VISUAL
dHash
|
dcc3ccecac9c7275 |
|
VISUAL
wHash
|
0020640606ffffff |
|
VISUAL
colorHash
|
1b003008000 |
|
VISUAL
cropResistant
|
a28082e2f2b280a2,800002b232320092,a2a282babaa28092,8200327afab20282,000824b2b2100000,3007377377747474,dce0c1ccececac9c,70632307835b5643,6c653318180c4446 |
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 78 techniques to evade detection by security scanners and make reverse engineering more difficult.