Cyber Resilience

CVE-2025-2050

SQLi in Phpgurukul User Registration \& Login And User Management System 3.3

Public PoCSQLi
Published
07 March 2025
Modified
28 May 2025
Patch / advisory
View advisory
CVSS Score v4 6.9
Click a component to see what it means
Raw vectorCVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
EPSS Score 0.0053 42th percentile
Risk Priority 42 floored blend · peak EPSS

Summary

CVE-2025-2050 is a medium-severity Injection (CWE-74) vulnerability in Phpgurukul User Registration \& Login And User Management System. Its CVSS base score is 6.9 (Medium).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 42th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SI-10 (Information Input Validation) — see the control section below for these in your framework.

Deeper analysis AI-assisted summary

Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.

CVE-2025-2050 is a critical SQL injection vulnerability (classified under CWE-74 and CWE-89) affecting PHPGurukul User Registration & Login and User Management System version 3.3. The flaw resides in an unknown functionality of the file /login.php, where manipulation of the email argument enables SQL injection. Published on 2025-03-07, it carries a CVSS v3.1 base score of 7.3 (AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L).

An unauthenticated remote attacker can exploit this vulnerability over the network with low attack complexity and no user interaction required. By crafting malicious input for the email parameter during login attempts, the attacker can execute arbitrary SQL queries, potentially leading to low-level impacts on confidentiality (e.g., limited data exposure), integrity (e.g., minor data modification), and availability (e.g., minor service disruption).

Advisories referenced in VulDB entries (https://vuldb.com/?ctiid.298801, https://vuldb.com/?id.298801, https://vuldb.com/?submit.514115) and a GitHub issue (https://github.com/guttlefish/vul/issues/8) detail the vulnerability, with the vendor site at https://phpgurukul.com/. The exploit has been publicly disclosed and may be used.

OWASP Top 10 for Web (2025)

A05:2025 Injection

EU & UK References

Vulnerability Data

A vulnerability classified as critical was found in PHPGurukul User Registration & Login and User Management System 3.3. Affected by this vulnerability is an unknown functionality of the file /login.php. The manipulation of the argument email leads to sql injection.…

more

The attack can be launched remotely. The exploit has been disclosed to the public and may be used.

CWE(s)
CWE-74CWE-89

Related Threats

MITRE ATT&CK Enterprise Techniques

T1190 Exploit Public-Facing Application Initial Access
Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.
attack.mitre.org →
T1221 Template Injection Stealth
Adversaries may create or modify references in user document templates to conceal malicious code or force authentication attempts.
attack.mitre.org →
T1659 Content Injection Initial Access
Adversaries may gain access and continuously communicate with victims by injecting malicious content into systems through online network traffic.
attack.mitre.org →
T1674 Input Injection Execution
Adversaries may simulate keystrokes on a victim’s computer by various means to perform any type of action on behalf of the user, such as launching the command interpreter using keyboard shortcuts, typing an inline script to be executed,…
attack.mitre.org →
T1059 Command and Scripting Interpreter Execution
Adversaries may abuse command and script interpreters to execute commands, scripts, or binaries.
attack.mitre.org →
T1059.001 PowerShell Execution
Adversaries may abuse PowerShell commands and scripts for execution.
attack.mitre.org →
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2024-48280Same product: Phpgurukul User Registration \& Login And User Management System
CVE-2024-48283Same product: Phpgurukul User Registration \& Login And User Management System
CVE-2024-28323Same product: Phpgurukul User Registration \& Login And User Management System
CVE-2024-48282Same product: Phpgurukul User Registration \& Login And User Management System
CVE-2023-7100Same vendor: Phpgurukul
CVE-2024-10157Same vendor: Phpgurukul
CVE-2024-3767Same vendor: Phpgurukul
CVE-2024-10153Same vendor: Phpgurukul
CVE-2023-6648Same vendor: Phpgurukul
CVE-2023-48722Same vendor: Phpgurukul

Affected Assets

phpgurukul
user registration \& login and user management system
3.3

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

—

Detect
Catch it (NIST detect / respond)

—

Harden
Shrink the surface (DISA STIG)

—

Validate
Prove the fix (OWASP ASVS)
  • V1.2.1
  • V1.2.3
  • V1.2.5
  • V1.2.8

Mitigating Controls (NIST 800-53 r5) AI

SA-11 Developer Testing and Evaluation good match

Developer testing and evaluation can discover SQLi flaws before deployment but does not stop their introduction.

SI-10 Information Input Validation good match

SI-10 directly requires validation of information inputs to reject malformed or special-element content before it reaches downstream parsers.

SA-8 Security and Privacy Engineering Principles partial match

Secure engineering principles require parameterized queries and input sanitization that structurally eliminate SQLi.

SI-4 System Monitoring partial match

System monitoring can identify attempted SQLi exploitation via anomalous queries after the weakness exists.

Mitigating Controls (NIST CSF 2.0) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.

PR.PS-06 mostly match
prevents

Secure SDLC practices directly require input validation and output encoding that prevent injection flaws.

PR.AT-02 partial match
prevents

Training raises developer awareness of SQLi risks and can reduce introduction likelihood (partial) but removes none of the actual coding flaw's risk by itself since technical neutralization is still required.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

A.8.29 Security testing in development and acceptance mostly match
finds

Security testing in development catches injection vulnerabilities before release.

A.5.6 Contact with special interest groups partial match
prevents

Early warnings and shared best-practice information help organizations apply the latest remediation techniques against SQL-injection vulnerabilities.

A.5.7 Threat intelligence partial match
prevents

Threat-intelligence feeds that surface new SQL-injection campaigns enable rapid updates to query-construction defenses and detection signatures before exploitation occurs.

A.8.15 Logging partial match
finds

Logging supports detection of injection attempts but does not prevent the weakness.

A.8.16 Monitoring activities partial match
finds

Monitoring activities can identify active injection attacks after they occur.

A.8.25 Secure development life cycle partial match
prevents

Secure development life cycle mandates input validation and output encoding that directly prevent injection flaws.

References