Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13E41FE7FE066158D17A652FC6952BCD8C58716DDC8C0CE006DE2129F72EAA858BB13D8 |
|
CONTENT
ssdeep
|
48:q/vnFcpKMcPsoy+/+u/LFO40SmtamFQdem:qFQ6Psoyc/DFfmtamedem |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a27f95287f807f01 |
|
VISUAL
aHash
|
0000000001037fff |
|
VISUAL
dHash
|
becce9c9d9b7fee0 |
|
VISUAL
wHash
|
02604161417f7fff |
|
VISUAL
colorHash
|
020000001c0 |
|
VISUAL
cropResistant
|
cbe9c9d935dff8c2,0000206979690608,aecccbc9d995fff8 |
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)