Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12892D026E47B8E376967C0C755202F09E6AAB34BC227E160EDE51A550FC2D66BE0D037 |
|
CONTENT
ssdeep
|
192:Vr3ky4wVHiDcueTuKsXAEsXAyleAF1WXAhoWXAF+0H8VPY:J0r4fmAlAtAFeABAM2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
980b677c5a8eb847 |
|
VISUAL
aHash
|
00000c1c1cdfffff |
|
VISUAL
dHash
|
99dbb8b9b8992e1a |
|
VISUAL
wHash
|
00001c1c1cdfffff |
|
VISUAL
colorHash
|
03200030000 |
|
VISUAL
cropResistant
|
b8b9b838992e3a52,d919cab8b9983899 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.