SSRF Filter Bypass via Hexadecimal NAT64 Address Normalization

WWBN AVideo contains a server-side request forgery filter bypass vulnerability in the isSSRFSafeURL function that fails to normalize NAT64 addresses written in hexadecimal form. Attackers can bypass SSRF protections by supplying hex-encoded NAT64 addresses like 64:ff9b::a9fe:a9fe to reach cloud metadata services and loopback interfaces.

Casky was already ahead

This CVE exploits attack patterns that Casky's 323matched skills already investigate — long before this vulnerability was disclosed. Claude's reasoning model maps these techniques to MITRE ATT&CK, so practitioners who ran these skills have already seen the threat behaviour in their findings.

Analysis

WWBN AVideo contains a server-side request forgery (SSRF) vulnerability in its isSSRFSafeURL function that fails to properly normalize IPv6 NAT64 addresses when encoded in hexadecimal form. Attackers can exploit this weakness by supplying specially crafted hex-encoded NAT64 addresses (such as 64:ff9b::a9fe:a9fe) to circumvent SSRF protections and gain unauthorized access to sensitive resources. This affects any organization deploying WWBN AVideo, particularly those running instances in cloud environments where metadata services and internal loopback interfaces represent high-value targets. The vulnerability is particularly dangerous because it bypasses security controls that are specifically designed to prevent exactly this type of attack—making it a critical weakness in defense-in-depth strategies.

Casky's 323 mapped security skills, powered by Claude AI's extended reasoning capabilities, detect the attack patterns associated with this vulnerability across two key MITRE ATT&CK techniques: Reconnaissance (TA0001) and Resource Development (TA0043). Practitioners using Casky would identify suspicious patterns including: malformed or unusual IPv6 address formats in application logs, particularly hexadecimal NAT64 notations targeting 169.254.169.254 (AWS metadata) or 127.0.0.1 (loopback); requests to the isSSRFSafeURL function with encoding bypasses; and outbound connections to cloud metadata services or internal interfaces that should be blocked. The platform's skills would flag these indicators during both attack simulation and live traffic analysis, enabling security teams to pinpoint vulnerable instances, validate patching status, and detect active exploitation attempts before attackers achieve data exfiltration or privilege escalation.

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Casky Risk Score

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EPSS Probability

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Shodan Exposure

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GreyNoise Signal

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Composite risk scoring from EPSS, CISA KEV, Shodan, and GreyNoise — 21 security APIs correlated into a single Casky Risk Score. Coming in Casky Pro. Join early access →

323 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-82648.

Abuse of Public-Facing API: Mobile API Abuse

mobile security · low

Run

abusing-dpapi-for-credential-access

red teaming · high

Run

abusing-shadow-credentials-for-privesc

red teaming · high

Run

MITRE ATT&CK Techniques

TA0001 TA0043

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