Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15BE121E1C044CD36031389D6F7F56B1F6696C359CB020A8853FC93EE5BDBC60CA566A9 |
|
CONTENT
ssdeep
|
96:Tk7V7mohOhHWfeGzVF8iSS8ct7DCeSSXwvlgeBXiHlNelXi4/+3QPJ:Qh7mohOhHW1zEwsnsqs4UQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b69ad8787e12383 |
|
VISUAL
aHash
|
270000003c3cffff |
|
VISUAL
dHash
|
cf33337160681740 |
|
VISUAL
wHash
|
7f0800003c3cffff |
|
VISUAL
colorHash
|
070060000c0 |
|
VISUAL
cropResistant
|
8490809096036fbd,cb9a1a8a1c3d3333,c280b2b2bab28cce,6400000000000000,cf33b33311786068 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.