Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15A431FB15043453B868391C5EB392B4AA3D2D34ACB530D08BBF9875BEFC6D64ED1E660 |
|
CONTENT
ssdeep
|
768:JbtZ7viJBJBse+fZHzaDbcduhsty0gKIBKen8QT/rifyzJZl2V1Bp2XHiALaaJCJ:tw+gTXNcQfrN6aXXr5Fm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee6691cb4b5a160e |
|
VISUAL
aHash
|
fdf781d1b1f1fdff |
|
VISUAL
dHash
|
51a5252767659984 |
|
VISUAL
wHash
|
bdf1808030b0f9ff |
|
VISUAL
colorHash
|
07202000080 |
|
VISUAL
cropResistant
|
51a5252767659984,1d5c74333a302a8f,814193195ddccc2d |
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 138 techniques to evade detection by security scanners and make reverse engineering more difficult.