Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BBD134E1C014DD3707528AE4B7F57B0BB6A2C349CB03094467F493AB6BCECA0CB61599 |
|
CONTENT
ssdeep
|
96:TkLdsetUOZOpenzH0LKSTKKiEdt7Jo+LFe6X7HFhWXGX/o6vSTu1JR:QLdRth4YnzH0LHLiEdro+dVXK61r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f00e21b1df0e3f8 |
|
VISUAL
aHash
|
0f1fff0f0f0f1fff |
|
VISUAL
dHash
|
7bfefe3a3a7a3c70 |
|
VISUAL
wHash
|
0f07070f0f0f0f3f |
|
VISUAL
colorHash
|
07001200180 |
|
VISUAL
cropResistant
|
7bfefe3a3a7a3c70,67420bd4d4c6cebe |
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.
Pages with identical visual appearance (based on perceptual hash)