Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17802B6521118683B411343D8F3E1A76F61D3C281DE492A4586FA47EA0FF7DE4EE6718E |
|
CONTENT
ssdeep
|
96:SMTs9kSUowhYW+BJ6v0Xh/o1kmxBE+JaEnJu42wHCHlgR61rBxJ5eC1H1TpQhU8z:Sj3vK1fBExEcRHvFeC91TOUO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92966d69c36992c7 |
|
VISUAL
aHash
|
00043e2e3e0e0000 |
|
VISUAL
dHash
|
d5acececccdcb3b8 |
|
VISUAL
wHash
|
645e7e7f7e1e0800 |
|
VISUAL
colorHash
|
31400007000 |
|
VISUAL
cropResistant
|
23239c3335710dcc,d5acececccdcb3b8 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)