Unauthenticated SQL Injection in PHPCRUD firstname Parameter

EgavilanMedia PHPCRUD 1.0 contains an SQL injection vulnerability that allows unauthenticated attackers to manipulate database queries by injecting SQL code through the firstname parameter. Attackers can send POST requests to insert.php with malicious firstname values to extract sensitive database information.

Casky was already ahead

This CVE exploits attack patterns that Casky's 301matched 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

EgavilanMedia PHPCRUD 1.0 suffers from a critical SQL injection vulnerability in the insert.php endpoint, where the firstname parameter fails to properly sanitize user input before constructing database queries. This allows unauthenticated attackers to inject arbitrary SQL code, enabling unauthorized database access, data exfiltration, and potential data manipulation. The vulnerability is particularly dangerous because it requires no authentication and can be exploited via simple POST requests, making it accessible to any attacker with network access. Organizations using PHPCRUD 1.0 for customer data management, content repositories, or internal databases are immediately at risk of sensitive information disclosure.

Casky's 301 mapped security skills leverage Claude AI's reasoning capabilities to detect the attack patterns associated with this vulnerability across TA0001 (Reconnaissance) and TA0043 (Reconnaissance) techniques. Practitioners using Casky would identify suspicious patterns including abnormal SQL syntax in application logs, unexpected database query structures containing UNION, SELECT, or DROP statements in the firstname POST parameter, and timing-based anomalies suggesting SQL probe attempts. The platform's extended reasoning would correlate raw HTTP POST requests containing metacharacters (single quotes, dashes, parentheses) in firstname values with known SQL injection payloads, flagging attempts to extract system tables, user credentials, or database schema information. Security teams would receive findings highlighting the specific attack vector—unauthenticated access to insert.php—and recommended detection rules for signature-based and behavioral monitoring.

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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 →

301 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2021-47956.

analyzing-apt-group-with-mitre-navigator

threat intelligence · low

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analyzing-campaign-attribution-evidence

threat intelligence · low

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analyzing-certificate-transparency-for-phishing

threat intelligence · low

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MITRE ATT&CK Techniques

TA0001 TA0043

Investigate the attack patterns behind CVE-2021-47956

Casky has 301 skills that investigate the attack patterns behind CVE-2021-47956. Run one and get CVSS-scored findings in 3 minutes.

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