Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C0324E33B500CC2A8D9B568CF6C0968D415EC356FB7148CAB1A490BF7BC4DF169A93AD |
|
CONTENT
ssdeep
|
192:Kic3JMYcxcGchFYmRooZ5eONPx1McnthWeNWbnfMmUU8VCoF:ycxcGchFnZ55yfMmUFCoF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b63e4949663c5933 |
|
VISUAL
aHash
|
00ffe787e7ffffff |
|
VISUAL
dHash
|
01080d2d0d082400 |
|
VISUAL
wHash
|
0003838383c3ffff |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
cc2c0d2d4d000c00,0080410121018000 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.