Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1485354318505A83B0AE706C993799B69E1E99307C3160D48FFF487BACF9AD2CDA37151 |
|
CONTENT
ssdeep
|
768:EHNKbycz3dEFeI5IPpVYogZOeN7JdsIx/j+Uf7hpF:vdEFeI5A0ogZOeN7LsIxN7LF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8b4b54a6eb98f681 |
|
VISUAL
aHash
|
301808193f1f1f0b |
|
VISUAL
dHash
|
61715b7b6bacbbdb |
|
VISUAL
wHash
|
bc1808393f1f1f17 |
|
VISUAL
colorHash
|
1b008000c00 |
|
VISUAL
cropResistant
|
606171725a59f363,fed0dbd0cbcf8e8d,67979a9ad2d2d252,617259f3ebacbbdb,bb73c6cf4f4b3171 |
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 74 techniques to evade detection by security scanners and make reverse engineering more difficult.