Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T170C114E1C018DD3603538AE8B7F56B4B7752C348CB03094467F883AB6BDED60CB55599 |
|
CONTENT
ssdeep
|
96:TkCVrxsetUOZOpeXHyKSTPKiEdt7lZefFDKXgHFMKXtX/OLSTu1JR:QCVrxRth4YXHyHWiEdrZe55Xj61r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b90ce6f9c4373807 |
|
VISUAL
aHash
|
ff0f0f0f0f0f8fff |
|
VISUAL
dHash
|
1b5e7a5e5a1a5a28 |
|
VISUAL
wHash
|
0f0307070f0f0fff |
|
VISUAL
colorHash
|
07600040000 |
|
VISUAL
cropResistant
|
1b5e7a5e5a1a5a28,0c2b9d9b1b83291d |
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.