Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A6334B736731B9A882DB52EEE7382D49B1C6489DF8CB4550F5C95A8D23C7CD02287BB4 |
|
CONTENT
ssdeep
|
1536:av+EsZ/8W0DVRGMjBHRlcMjBEDrpRXPZlQaQD9OehM+BrUgq4z:aAIRjRlqDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92b26dcd9a92b4e4 |
|
VISUAL
aHash
|
ff40e66c6c006e00 |
|
VISUAL
dHash
|
99868c88a8caca00 |
|
VISUAL
wHash
|
ff62ee6c7c246600 |
|
VISUAL
colorHash
|
31000e00000 |
|
VISUAL
cropResistant
|
0000080c0c0c0008,1f5fceaee6ced060,99868c88a8caca00 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)