← Back to Feed CACHED · 2026-05-17 09:42:19 · cache_key CVE-2025-29912
CVE-2025-0174 · CWE-74 · Disclosed 2025-01-03

A vulnerability was found in code-projects Point of Sales and Inventory Management System 1

ASSESSED — NOISGATE V0.5
Vendor
Reassessed
Verdict:
01 · The Real Story

This is a lockpick for a side door on a hobby-shop cash register, not a skeleton key for the enterprise

CVE-2025-0174 is an SQL injection in code-projects Point of Sales and Inventory Management System affecting version 1.0, specifically the /user/search_result2.php path and its search parameter. The CVE/CNA record says the flaw is remotely reachable and has a public exploit, but the assigned CVSS vector includes PR:L, which means the intended attack model requires a valid low-privilege application account before the injection point is reachable.

The vendor/CNA MEDIUM label is technically fair in a lab, but it overstates enterprise urgency. The biggest downward pressure is not the bug class—SQLi is serious—it is the deployment reality: this is a niche educational PHP/XAMPP project, often run locally or on small ad hoc installs, not a broadly managed enterprise platform. Combine that with low EPSS, no KEV listing, no observed campaign evidence, and an authenticated path, and this drops into backlog territory unless you knowingly exposed this app to the internet.

"Real bug, public PoC, but it needs app access and targets a niche training-style PHP app with limited enterprise blast radius."
02 · The Attack Path

4 steps from start to impact.

STEP 01

Find a live instance

The attacker first has to locate an installation of this exact PHP project, typically a manually deployed PISP application. In real environments that usually means discovering a forgotten lab, a small retail side app, or a demo system rather than a standardized enterprise service.
Conditions required:
  • A reachable web instance of Point of Sales and Inventory Management System 1.0 exists
  • The app is exposed on a routable network segment or externally
Where this breaks in practice:
  • The product appears to be a niche source-code project rather than a mainstream packaged platform
  • Vendor instructions emphasize local/XAMPP-style deployment, which implies many installs are non-internet-facing
  • Most enterprises will have zero footprint for this product
Detection/coverage: Generic web discovery and asset inventory may find it, but product-specific scanner coverage is likely inconsistent because this is not a common commercial platform.
STEP 02

Obtain low-privilege app access

Per the CVSS vector, exploitation assumes PR:L, so the attacker needs a valid application login or equivalent session first. That turns this from pure pre-auth internet noise into a post-auth web-app abuse path.
Conditions required:
  • Valid low-privilege credentials, session cookie, or another way to reach authenticated /user/ functions
Where this breaks in practice:
  • This prerequisite implies either credential theft, default credentials, weak provisioning, or prior compromise
  • SSO, MFA in front of the app, VPN gating, or not exposing the app externally all sharply reduce reachable population
Detection/coverage: Auth logs, reverse proxy logs, and IAM telemetry should show unusual logins before exploitation. Vulnerability scanners usually do not validate this step unless given working credentials.
STEP 03

Trigger SQL injection in search_result2.php

Using the public PoC path, the attacker submits crafted input to the search parameter in /user/search_result2.php. If the backend concatenates input into SQL without parameterization, the attacker can alter the query and read or manipulate database content.
Conditions required:
  • The vulnerable search_result2.php code path is present and unchanged
  • Backend database query is built unsafely from attacker-controlled search input
Where this breaks in practice:
  • WAFs, virtual patching, or prepared statements in local forks can break the exploit
  • Some deployments may have modified the public source code enough that the PoC no longer lands cleanly
Detection/coverage: DAST and WAF signatures can catch obvious SQLi payloads. App logs, web logs, and database error logs often show quote-based probes or UNION-style payloads if logging is enabled.
STEP 04

Abuse application database data

The likely impact is limited to the app's own database context: customer records, inventory data, supplier data, and possibly user credential hashes or application configuration. That is still bad for the owner of the app, but it is usually not an automatic enterprise-wide compromise unless the database account is over-privileged or secrets are reused elsewhere.
Conditions required:
  • Database account has access to sensitive tables
  • Application stores reusable credentials or secrets
Where this breaks in practice:
  • Blast radius is usually bounded to one app and its database
  • No evidence in the public record points to RCE, OS-level compromise, or tenant-to-tenant spread
  • Least-privilege DB accounts and segmented hosting contain fallout
Detection/coverage: DB audit logs, abnormal query volume, and changes to application data are the best signals. Traditional endpoint tools may miss it if the impact stays inside the web app and database.
03 · Intelligence Metadata

The supporting signals.

In-the-wild statusNo reliable evidence of active exploitation campaigns found in the reviewed sources. CISA ADP tags exploitation maturity as poc, not known in-the-wild.
Public PoCYes. The CVE record references a public GitHub Gist PoC by masamune (VulDB User).
EPSS0.0016 from the user intel block, which is very low and consistent with low near-term exploitation probability.
KEV statusNot listed in CISA KEV.
CVSS vectorCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L — the decisive real-world limiter is PR:L: attacker needs application access first.
Affected versionsPublished records identify Point of Sales and Inventory Management System 1.0 as affected.
Fixed versionNo authoritative patched version or vendor security advisory was located. Treat patched_version as unknown/null, and verify local forks manually.
Exposure realityNo product-specific GreyNoise/Shodan/Censys exposure telemetry was found during review. *Inference:* likely low enterprise prevalence because the vendor page describes a free educational PHP/XAMPP project commonly run from localhost.
Disclosure timelineCVE published on 2025-01-03; OpenCVE shows advisory disclosure on 2025-01-02.
Reportermasamune (VulDB User) per the CVE/OpenCVE record.
04 · The Call

noisgate verdict.

Final Verdict
DOWNGRADED to LOW (3.4/10)

The single biggest reason this lands in LOW is the attacker-position requirement: the published scoring assumes authenticated access (PR:L), which means this is usually a post-login web-app abuse path, not true unauthenticated edge compromise. The second limiter is reachability—this is a niche source-code POS project with weak evidence of meaningful enterprise exposure or active exploitation.

MEDIUM Severity downgrade from vendor `MEDIUM` to noisgate `LOW`
MEDIUM Interpretation that exploitation requires authenticated access in normal deployments
LOW Population/exposure estimate because public internet telemetry for this exact product is sparse

Why this verdict

  • Attacker position drags this down: PR:L means the chain starts after the attacker already has a valid app account or session, which is a major severity discount versus pre-auth SQLi.
  • Reachable population looks small: this appears to be a free educational PHP/XAMPP project, not a mainstream enterprise package; that sharply narrows how many 10,000-host shops even have it.
  • Threat signals are weak: no KEV listing, very low EPSS, and no convincing campaign reporting found in primary reviewed sources.
  • Blast radius is usually app-local: the likely impact is the POS app database, not immediate OS compromise or broad tenant escape.
  • Public exploit keeps it from being ignored: the PoC exists, so any environment that *does* expose and use this app should still treat it as real.

Why not higher?

If this were unauthenticated SQLi on a widely deployed edge product, this would climb fast. But the combination of authenticated access, niche software footprint, and no strong exploitation evidence keeps it out of MEDIUM or HIGH for enterprise prioritization.

Why not lower?

This is still genuine SQL injection with a public PoC against a live code path, not a theoretical weakness. If you actually run this app, an attacker with basic app access can likely read or tamper with business data, so IGNORE would be too dismissive.

05 · Compensating Control

What to do — in priority order.

  1. Remove external exposure — If this app exists at all, put it behind VPN, IP allowlisting, or an internal reverse proxy so the internet cannot reach /user/search_result2.php. For a LOW verdict there is no formal SLA, so do this as backlog hygiene at the next change window.
  2. Kill shared and default app credentials — Because the exploit path assumes valid app access, credential hygiene directly cuts exploitability. Reset any shared POS accounts and disable dormant users as backlog hygiene; this is more valuable here than broad emergency patching.
  3. Add a virtual patch rule — Block suspicious SQL metacharacters and UNION/error-based payloads on requests to /user/search_result2.php and closely related search endpoints. With a LOW verdict there is no noisgate mitigation deadline, so implement during normal WAF tuning rather than breaking production in a rush.
  4. Constrain database privileges — Ensure the app DB account only has the minimum CRUD rights it actually needs, and rotate secrets if the database user is over-privileged. This reduces blast radius even if the SQLi remains present; handle as backlog hygiene.
  5. Inventory and retire the app if possible — For enterprises, the real control is often elimination: if this is a forgotten training/demo POS instance, decommission it instead of carrying patch debt. For LOW, there is no SLA, but retirement should be folded into routine application rationalization.
What doesn't work
  • Generic EDR on the web server does not reliably stop SQLi that stays inside PHP and MySQL query flow.
  • Perimeter IDS alone is weak here because authenticated, app-native requests can look like normal user traffic unless signatures are tuned for the exact endpoint.
  • Password rotation of OS accounts only is not enough if the attacker just needs a low-privilege application user.
06 · Verification

Crowdsourced verification payload.

Run this on the target host or on a checked-out source tree of the application, pointing it at the vulnerable file path. Example: python3 verify_cve_2025_0174.py /var/www/html/PISP/user/search_result2.php or python verify_cve_2025_0174.py C:\xampp\htdocs\PISP\user\search_result2.php; it only needs read access to the source file, not admin privileges.

noisgate-verify.py
PYTHONREAD-ONLYSAFE
#!/usr/bin/env python3
# verify_cve_2025_0174.py
# Heuristic verifier for CVE-2025-0174 in code-projects Point of Sales and Inventory Management System 1.0
# Exit codes: 0=PATCHED, 1=VULNERABLE, 2=UNKNOWN, 3=usage/file error

import os
import re
import sys


def read_file(path):
    encodings = ["utf-8", "latin-1"]
    for enc in encodings:
        try:
            with open(path, "r", encoding=enc, errors="strict") as f:
                return f.read()
        except Exception:
            pass
    with open(path, "r", encoding="utf-8", errors="ignore") as f:
        return f.read()


def main():
    if len(sys.argv) != 2:
        print("UNKNOWN - usage: python3 verify_cve_2025_0174.py <path-to-search_result2.php>")
        sys.exit(3)

    path = sys.argv[1]
    if not os.path.isfile(path):
        print(f"UNKNOWN - file not found: {path}")
        sys.exit(3)

    if os.path.basename(path).lower() != "search_result2.php":
        print("UNKNOWN - expected target file name search_result2.php")
        sys.exit(2)

    try:
        data = read_file(path)
    except Exception as e:
        print(f"UNKNOWN - unable to read file: {e}")
        sys.exit(2)

    blob = data.lower()

    # Fast indicators of safer code
    prepared_markers = [
        "->prepare(",
        "mysqli_prepare(",
        "$pdo->prepare(",
        "bindparam(",
        "bindvalue(",
        "execute([",
    ]
    escape_markers = [
        "mysqli_real_escape_string(",
        "pdo::quote(",
        "->quote(",
    ]

    has_prepared = any(m in blob for m in prepared_markers)
    has_escape = any(m in blob for m in escape_markers)

    # Signs the 'search' parameter is used unsafely in a query
    param_patterns = [
        r"\$_get\s*\[\s*['\"]search['\"]\s*\]",
        r"\$_post\s*\[\s*['\"]search['\"]\s*\]",
        r"\$_request\s*\[\s*['\"]search['\"]\s*\]",
    ]
    query_patterns = [
        r"select\s+.*from",
        r"where\s+.*like",
        r"where\s+.*=",
    ]
    concat_patterns = [
        r"\.(\s*)\$search",
        r"\$search(\s*)\.",
        r"['\"].*\$search.*['\"]",
    ]

    has_param = any(re.search(p, blob, re.IGNORECASE | re.DOTALL) for p in param_patterns)
    has_query = any(re.search(p, blob, re.IGNORECASE | re.DOTALL) for p in query_patterns)
    has_concat = any(re.search(p, blob, re.IGNORECASE | re.DOTALL) for p in concat_patterns)

    # Broader hint: direct mysql query functions with search variable nearby
    risky_db_calls = [
        "mysql_query(",
        "mysqli_query(",
        "->query(",
        "$conn->query(",
        "$db->query(",
    ]
    has_risky_db_call = any(m in blob for m in risky_db_calls)

    if has_param and has_query and (has_concat or (has_risky_db_call and not has_prepared and not has_escape)):
        print("VULNERABLE - search parameter appears to flow into SQL without strong parameterization")
        sys.exit(1)

    if has_param and has_prepared and not has_concat:
        print("PATCHED - prepared statements detected for a search-driven code path")
        sys.exit(0)

    if has_param and has_escape and has_risky_db_call and not has_prepared:
        print("UNKNOWN - escaping detected, but manual review still needed to confirm exploitability")
        sys.exit(2)

    print("UNKNOWN - heuristic check could not confirm vulnerable or patched state")
    sys.exit(2)


if __name__ == "__main__":
    main()
07 · Bottom Line

If you remember one thing.

TL;DR
Monday morning: first answer the inventory question—do you actually run this niche PISP/Point of Sales and Inventory Management System 1.0 anywhere, and is any instance externally reachable? If yes, remove internet exposure and clean up weak app credentials during normal change control; for a LOW verdict the noisgate mitigation SLA is no SLA (treat as backlog hygiene), and the noisgate remediation SLA is likewise no SLA (backlog hygiene), so this is not an interrupt-the-week issue unless you knowingly exposed it to the internet or use shared/default app accounts.

Sources

  1. NVD CVE-2025-0174
  2. OpenCVE record for CVE-2025-0174
  3. CVE.org record endpoint
  4. Vendor project page
  5. Public exploit reference (GitHub Gist)
  6. CISA Known Exploited Vulnerabilities Catalog
  7. FIRST EPSS project
  8. FIRST EPSS API documentation
Peer Review

What defenders are saying.

Submit a review attribution: handle + country only
0 flags selected · stored anonymously
Validation Results

Crowdsourced verification outputs.

Results submitted by users who ran the verification payload against their environment.