← Back to Feed CACHED · 2026-05-17 09:42:19 · cache_key CVE-2025-29912
CVE-2025-6919 · CWE-89 · Disclosed 2025-10-13

Improper Neutralization of Special Elements used in an SQL Command

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

This is a loaded nail gun, but most shops keep it in the back room not on the sidewalk

CVE-2025-6919 is an unauthenticated SQL injection in Cats Information Technology Software Development Technologies Aykome License Tracking System. The CVE record says versions before the build dated 06.10.2025 are affected, with the fixed line expressed only as that date-based version marker rather than a conventional semantic version.

The vendor/CNA technical score of 9.8 is fair in a lab: no auth, network reachable, and direct database impact. But for patch prioritization across a large estate, that overstates the average enterprise risk because this is a niche line-of-business license-tracking product, there is no KEV listing, no public exploitation evidence in the sources reviewed, and the EPSS is extremely low. That combination pushes this out of 'drop everything' territory unless you know an instance is internet-facing.

"Dangerous if exposed, but the real-world blast radius looks much smaller than a blanket 9.8 suggests."
02 · The Attack Path

4 steps from start to impact.

STEP 01

Find an exposed Aykome instance

An attacker first needs HTTP(S) reachability to the Aykome application and some way to recognize it as the target product. In practice that usually means title, branding, static asset names, login text, or prior knowledge from customer/vendor relationships rather than broad commodity scanning. Commodity recon platforms help, but this product is obscure enough that discovery is not obviously turnkey.
Conditions required:
  • The Aykome web application is reachable from the attacker's position
  • The attacker can identify the service as Aykome or has prior targeting knowledge
Where this breaks in practice:
  • Many license-tracking systems live on internal networks, VPN-only portals, or admin subnets
  • No widely visible public fingerprint or common Shodan/Censys signature surfaced in this review
  • Obscure regional/vendor-specific software reduces random drive-by targeting
Detection/coverage: External attack-surface management may catch exposed hosts, but scanner plugin coverage for this specific product is likely thin. Generic web discovery will find the site; product-specific identification is the weak point.
STEP 02

Validate the injectable parameter with Burp or sqlmap

Once the app is reachable, the attacker needs a vulnerable request path and an injectable parameter. Typical tooling would be Burp Suite for manual probing and sqlmap for confirmation using boolean-, error-, or time-based techniques. The CVE does not publish the exact endpoint, so exploitation still requires some application mapping work.
Conditions required:
  • A vulnerable endpoint is present in the deployed build
  • The attacker can send crafted requests to application inputs
Where this breaks in practice:
  • Unknown parameter names and paths slow down opportunistic exploitation
  • WAF rules, reverse proxies, and input normalization can break stock payloads
  • The vulnerable path may be reachable only after app-specific navigation or workflow knowledge
Detection/coverage: DAST can sometimes catch this class generically, and WAF/IDS may alert on obvious payloads. Signature-only tools can miss time-based or heavily obfuscated SQLi.
STEP 03

Abuse database access for data theft or tampering

After confirming injection, the attacker can pivot into database enumeration, dump tables, alter records, or corrupt application state. sqlmap automates schema discovery and extraction quickly when the backend permissions are broad, which is why unauthenticated SQLi remains dangerous even without code execution.
Conditions required:
  • The SQL injection is exploitable beyond a blind proof
  • The database account used by the app has meaningful read/write rights
Where this breaks in practice:
  • Least-privileged database accounts can contain the blast radius
  • Blind extraction can be noisy and slow over latent links
  • App-layer authorization may still limit immediate pivot value if sensitive tables are segregated
Detection/coverage: Database logs, WAF telemetry, and anomalous query volume can expose exploitation. Many endpoint tools will see little if the attack stays in normal web-server and DB processes.
STEP 04

Turn app compromise into broader business impact

The likely end state is compromise of the Aykome data plane: license records, user/session material, and application integrity. If the backend DB user is over-privileged, the attacker may push further into file writes, credential theft, or administrative takeover, but that depends on deployment-specific misconfigurations rather than the CVE alone.
Conditions required:
  • Sensitive records or reusable secrets are stored in the database
  • Optional: the DB/app stack permits dangerous post-SQLi features such as file access or command execution
Where this breaks in practice:
  • The CVE itself proves SQLi, not guaranteed OS-level RCE
  • Many deployments keep DB execution and filesystem privileges disabled
  • Blast radius may stay confined to one business application
Detection/coverage: Look for mass reads, schema enumeration, unexpected admin changes, and session anomalies. EDR is helpful only if the attacker can break out of the normal web-to-database path.
03 · Intelligence Metadata

The supporting signals.

In-the-wild statusNo confirmed public exploitation in reviewed sources. OpenCVE reflects CISA ADP SSVC with Exploitation: none.
KEV statusNot in CISA KEV at review time.
Proof-of-concept availabilityNo public PoC located in the reviewed GitHub Advisory or Exploit-DB search paths for this CVE. That is an analyst inference from the available search results, not a vendor statement.
EPSS0.00038 from OpenCVE/FIRST-linked enrichment, which is extremely low on an absolute basis and argues against broad opportunistic exploitation pressure.
CVSS vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H — in pure technical terms this is a classic unauthenticated remote web-app compromise with full CIA impact.
Affected versionsAykome License Tracking System before Version dated 06.10.2025.
Fixed versionVersion dated 06.10.2025 or later. No distro backport information surfaced in the CVE/NVD/OpenCVE records.
Exposure telemetryNo reliable public fingerprint or product-specific internet-scale telemetry surfaced in the reviewed sources. That absence matters: it lowers confidence in widespread external exposure and is a key reason this is not being kept at CRITICAL.
Disclosure and reportingPublic disclosure date is 2025-10-13. Credits in the CNA record name Hasan Yasin Yasar as finder and Yusuf Melih Daskiran as analyst.
NVD/CNA stateNVD shows the record as Awaiting Analysis / Deferred while carrying the CNA-provided 9.8 CRITICAL score from TR-CERT.
04 · The Call

noisgate verdict.

Final Verdict
DOWNGRADED to HIGH (7.2/10)

The decisive downgrading factor is reachable population: this appears to be a niche business application with no evidence of broad internet exposure, no KEV listing, and no observed exploitation pressure. If you know you have an internet-facing Aykome instance, ignore the downgrade and treat that specific asset like a perimeter emergency, because the technical exploit path is still straightforward unauthenticated SQLi.

HIGH CVE metadata, affected range, and vendor/CNA scoring
MEDIUM Real-world exposure and exploitation prevalence assessment

Why this verdict

  • Start at 9.8, then subtract for narrow population: Aykome is not a mass-market platform with obvious broad external exposure; that sharply reduces the fraction of enterprises where an unauthenticated internet attacker can even reach step one.
  • Subtract again for threat evidence: KEV is negative, reviewed sources show no public exploitation evidence, and EPSS is only 0.00038, which is the opposite of a high-pressure attacker target.
  • Keep it at HIGH, not MEDIUM: The flaw is still unauthenticated remote SQLi with potentially full database compromise. On any exposed instance, modern controls may only slow exploitation rather than prevent it.

Why not higher?

I am not keeping this at CRITICAL because the attack chain depends first on finding and reaching a fairly obscure application, and the public telemetry reviewed does not show strong signs of wide internet exposure or active attacker interest. A 9.8 lab score is not the same thing as a 10,000-host Monday-morning emergency when the vulnerable product population appears small and the exploitation signal is weak.

Why not lower?

I am not dropping this to MEDIUM because there is no authentication requirement and no user interaction requirement once the vulnerable endpoint is reachable. If one of these systems is externally exposed, the compromise path is direct and the impact on the application's data plane can be severe.

05 · Compensating Control

What to do — in priority order.

  1. Remove external reachability — Put Aykome behind VPN, IP allowlists, or an internal reverse proxy if it is reachable from the internet. For a HIGH verdict, deploy this compensating control within 30 days, and faster if any instance is perimeter-facing.
  2. Enable aggressive WAF SQLi rules — Place managed SQL injection signatures and anomaly scoring in front of the application, then validate they block obvious tautology, UNION, and time-delay payloads without breaking business traffic. This is a speed bump, not a fix, but it is worth deploying within 30 days while patching is scheduled.
  3. Constrain database privileges — Review the application's DB account and remove file-write, administrative, and unnecessary schema privileges so a successful SQLi lands in a smaller sandbox. For a HIGH reassessment, tighten these permissions within 30 days where feasible.
  4. Hunt for SQLi telemetry — Query reverse-proxy, WAF, and DB logs for time-delay functions, UNION probes, quote escaping errors, schema enumeration, or bursts of 500s from Aykome paths. Start this immediately and complete initial review within 30 days.
  5. Prepare credential rotation — Because SQLi often exposes stored secrets and session material, line up rotation for the app DB credentials and any credentials stored inside the platform after patching. For a HIGH issue, have the rotation plan ready within 30 days.
What doesn't work
  • Relying on EDR alone doesn't solve a web-to-database exploit path that never needs to spawn suspicious child processes.
  • Assuming MFA helps is a category error here; the CVSS and CNA record indicate no authentication is required.
  • Blocking only known exploit strings is fragile because SQLi payloads can be transformed, time-based, or manually tuned around simple signatures.
06 · Verification

Crowdsourced verification payload.

Run this from an auditor workstation or jump host that can reach the Aykome web UI. Invoke it exactly as python3 verify_cve_2025_6919.py https://aykome.example.com/ with no special privileges required; it tries to identify Aykome branding and extract a visible build date from common pages or asset URLs, then reports VULNERABLE, PATCHED, or UNKNOWN.

noisgate-verify.py
PYTHONREAD-ONLYSAFE
#!/usr/bin/env python3
# verify_cve_2025_6919.py
# Heuristic verifier for CVE-2025-6919 (Aykome License Tracking System SQLi)
# Exit codes: 0=PATCHED, 1=VULNERABLE, 2=UNKNOWN, 3=usage/error

import re
import sys
import datetime
from urllib.parse import urljoin

try:
    import requests
except ImportError:
    print('UNKNOWN - missing dependency: requests')
    sys.exit(2)

PATCH_DATE = datetime.datetime.strptime('06.10.2025', '%d.%m.%Y').date()
PATHS = ['/', '/login', '/auth/login', '/admin', '/Account/Login']
DATE_RE = re.compile(r'(?<!\d)(\d{2})[./-](\d{2})[./-](\d{4})(?!\d)')
AYKOME_RE = re.compile(r'aykome|license tracking system', re.I)
TIMEOUT = 8
HEADERS = {'User-Agent': 'noisgate-cve-2025-6919-verifier/1.0'}


def parse_date(s):
    m = DATE_RE.search(s)
    if not m:
        return None
    day, month, year = m.groups()
    try:
        return datetime.date(int(year), int(month), int(day))
    except ValueError:
        return None


def fetch(url):
    try:
        r = requests.get(url, headers=HEADERS, timeout=TIMEOUT, allow_redirects=True, verify=True)
        return r.status_code, r.text[:400000]
    except Exception:
        return None, None


def main():
    if len(sys.argv) != 2:
        print('UNKNOWN - usage: python3 verify_cve_2025_6919.py https://host/')
        sys.exit(3)

    base = sys.argv[1].strip()
    if not re.match(r'^https?://', base, re.I):
        print('UNKNOWN - target must start with http:// or https://')
        sys.exit(3)

    saw_aykome = False
    found_dates = []
    checked = []

    for path in PATHS:
        url = urljoin(base.rstrip('/') + '/', path.lstrip('/'))
        checked.append(url)
        status, body = fetch(url)
        if status is None or body is None:
            continue

        if AYKOME_RE.search(body):
            saw_aykome = True

        for match in DATE_RE.finditer(body):
            d = parse_date(match.group(0))
            if d:
                found_dates.append((url, d, match.group(0)))

        # Also look for dated asset URLs and comments
        for token in re.findall(r'(?:src|href)=["\']([^"\']+)["\']', body, re.I):
            d = parse_date(token)
            if d:
                found_dates.append((url, d, token))

    if found_dates:
        newest = max(found_dates, key=lambda x: x[1])
        src_url, date_value, raw = newest
        if date_value < PATCH_DATE:
            print(f'VULNERABLE - found build/date marker {raw!r} on {src_url}; this is before 06.10.2025')
            sys.exit(1)
        else:
            print(f'PATCHED - found build/date marker {raw!r} on {src_url}; this is on/after 06.10.2025')
            sys.exit(0)

    if saw_aykome:
        print('UNKNOWN - Aykome branding detected, but no reliable build date marker was exposed in tested pages')
        sys.exit(2)

    print('UNKNOWN - could not confirm Aykome branding or extract a build date from tested pages: ' + ', '.join(checked))
    sys.exit(2)


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

If you remember one thing.

TL;DR
By Monday morning, identify whether you run Aykome License Tracking System at all, then separate instances into internet-facing versus internal-only buckets. For this HIGH reassessment, the noisgate mitigation SLA is within 30 days for compensating controls such as removing external reachability, WAF coverage, and DB privilege reduction, and the noisgate remediation SLA is within 180 days to move to Version dated 06.10.2025 or later; if any instance is exposed to the internet, treat that asset as an exception and patch or isolate it first rather than waiting on the full window.

Sources

  1. NVD CVE-2025-6919
  2. OpenCVE record for CVE-2025-6919
  3. USOM / TR-CERT advisory TR-25-0332
  4. CISA Known Exploited Vulnerabilities Catalog
  5. FIRST EPSS data and statistics
  6. FIRST EPSS model overview
  7. GitHub Advisory search for CVE-2025-6919
  8. Exploit-DB search for CVE-2025-6919
Peer Review

What defenders are saying.

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Validation Results

Crowdsourced verification outputs.

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