Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T144D1EEF1D014DD3743538AD5B7B9AB0BB792C385CE03164467F4839A5FCAC60CA2559A |
|
CONTENT
ssdeep
|
96:TkoQOQinBOknzDJ1tkzPQVt8v67MYddtfQ11BxfgFZyXxfHFEKXVX/JX6Y7zR:QodpngknzDJ1UPmt8iICd52NFdXg29 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9b133ce4e46ce0c |
|
VISUAL
aHash
|
ffcfffffffff0000 |
|
VISUAL
dHash
|
129a980030b04020 |
|
VISUAL
wHash
|
0000000000000000 |
|
VISUAL
colorHash
|
07006000080 |
|
VISUAL
cropResistant
|
219a9a2010303040,9d8d9d9501c5e786,0000000000000000 |
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.