← Back to Feed CACHED · 2026-05-17 09:42:19 · cache_key CVE-2025-29912
CVE-2026-48242 · CWE-798 · Disclosed 2026-05-21

Open ISES Tickets before 3

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

This is a spare key left in a public Git repo, but it only opens doors that were never re-keyed

CVE-2026-48242 is a hardcoded credential exposure in Open ISES Tickets affecting versions before 3.44.2. The issue is not that the web app suddenly grants code execution; it is that import_mdb.php shipped with embedded MySQL connection details, and those details were committed to a public repository. If an operator deployed the product with those same values still in use, anyone who can read the source can recover credentials that may authenticate directly to the application's database.

The vendor's HIGH 8.1 score overstates enterprise urgency because the real attack chain has extra gates the CVSS vector does not capture well: the attacker still needs the leaked credentials to match the live deployment, and they usually need network reachability to MySQL or another way to use those creds from the app host. In most enterprise builds, database tier isolation kills the chain; in small or flat networks, unchanged defaults make this much more dangerous.

"This is exposed default credential debt, not instant internet RCE; risk depends on credential reuse and DB reachability."
02 · The Attack Path

4 steps from start to impact.

STEP 01

Pull the secret from public code with git / GitHub

The attacker reads the public repository, release artifact, or mirrored advisory and extracts the hardcoded MySQL host, username, password, and database name from the import code path. This is not exploit development; it is credential collection from disclosed source material.
Conditions required:
  • The vulnerable source or package contents are publicly accessible
  • The embedded credentials are present in the affected build
Where this breaks in practice:
  • If the maintainers removed the secret from downloadable artifacts before deployment, the leak may only exist historically
  • If the deployment never used those values in production, the chain stops here
Detection/coverage: SAST and secret-scanning platforms can flag this in source repositories, but asset scanners usually do not tell you whether the leaked values are still valid in production.
STEP 02

Validate reachability to MySQL with nmap or mysql

Next the attacker checks whether the leaked database host is reachable from their position, typically by probing TCP/3306 or attempting a MySQL handshake. This is the decisive real-world gate: leaked credentials are far less useful when the database is bound to localhost or a restricted internal segment.
Conditions required:
  • The leaked host/IP is routable from the attacker position
  • MySQL is listening and permits network connections
Where this breaks in practice:
  • Most mature deployments do not expose MySQL directly to the internet
  • Firewalls, security groups, private VLANs, or localhost binding often block access even when the creds are valid
Detection/coverage: External attack-surface tools can spot exposed MySQL, but they cannot prove the creds work. Internal segmentation monitoring and firewall telemetry are more useful here.
STEP 03

Authenticate with recovered creds using mysql client

If the service is reachable, the attacker tries the recovered username and password against the named database. Successful login gives them the database privileges of the embedded account, which may be broad enough to read, alter, or destroy ticketing data.
Conditions required:
  • The production deployment reused the embedded credentials
  • The leaked account still exists and its password was not rotated
Where this breaks in practice:
  • Credential rotation or per-install unique secrets breaks the exploit completely
  • Least-privilege DB accounts may limit impact to a subset of tables or functions
Detection/coverage: Database authentication logs, failed-login spikes, and connections from unusual source IPs are your best signals. Generic web app scanners usually miss this.
STEP 04

Abuse application data with SQL tooling

With authenticated DB access, the attacker can dump incident data, alter records, create persistence inside app data, or wipe tables depending on granted privileges. The blast radius is typically the Open ISES application database, not immediate host-level takeover.
Conditions required:
  • The account has meaningful read/write permissions
  • The database contains operationally sensitive emergency-services data
Where this breaks in practice:
  • This is usually a single-application blast radius, not domain-wide compromise by itself
  • No automatic path to OS command execution is described by this CVE
Detection/coverage: DB activity monitoring can catch mass SELECT, UPDATE, DELETE, or DROP operations. Backup integrity checks and change auditing matter more than WAF signatures.
03 · Intelligence Metadata

The supporting signals.

In-the-wild statusNo public evidence of active exploitation surfaced in the searched sources, and the CVE is not listed in CISA KEV. See CISA KEV catalog.
Proof-of-concept availabilityNo standalone exploit repo was found. Practical "PoC" is trivial credential extraction from public code plus a MySQL login attempt; the fix references are the GitHub release and commit.
EPSSUser-provided EPSS is 0.00052. That is extremely low predicted exploitation probability and aligns with a niche product plus a reachability-dependent attack chain. EPSS background: FIRST EPSS and model notes.
KEV statusNot KEV-listed as of this assessment. For defenders, that means there is no public CISA-backed evidence of broad in-the-wild exploitation pressure right now. Source: CISA KEV catalog.
CVSS vector reality checkVendor CVSS is CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H at 8.1 HIGH. The important buried clue is AC:H: real exploitation depends on both secret reuse and database reachability, which the base vector does not fully communicate. Metadata visible in Cyber Defence's CVE mirror.
Affected versionsAffected range is Open ISES Tickets < 3.44.2. Description is consistent across the Debian tracker and the Cyber Defence CVE page.
Fixed versionFixed in v3.44.2, whose release notes say 5 hardcoded secrets removed. No distro backport trail was found, and Debian marks it NOT-FOR-US, implying no Debian package remediation path to rely on. Sources: 3.44.2" target="_blank" rel="noopener">v3.44.2 release, Debian tracker.
Scanning / exposure dataNo product-specific public GreyNoise/Shodan/Censys/FOFA exposure data was found in the searched sources. Public footprint indicators suggest a niche deployment base: the SourceForge project shows 12 downloads this week, and the GitHub repo shows a small community footprint. Sources: SourceForge project, GitHub repo.
Disclosure metadataPublished 2026-05-21; the mirrored CVE JSON shows sourceIdentifier as [email protected] and vulnStatus as Deferred. Source: Cyber Defence CVE mirror.
Researcher / reporting orgThe available structured metadata points to VulnCheck disclosure feed rather than a named independent researcher in the public records reviewed. Reference chain visible via Cyber Defence CVE mirror.
04 · The Call

noisgate verdict.

Final Verdict
DOWNGRADED to MEDIUM (4.3/10)

The single biggest downward pressure is that the attacker usually needs direct database reachability in addition to reused leaked credentials. That makes this a configuration-dependent secret exposure with a narrow real-world hit rate, not a broadly reachable unauthenticated app exploit.

HIGH Affected version boundary and fixed release
MEDIUM Severity downgrade based on deployment friction
LOW Internet-scale exposure and exploitation visibility

Why this verdict

  • Start at vendor 8.1, then cut hard for attacker position: the CVSS assumes unauthenticated remote access, but in practice the attacker usually needs a route to the MySQL service itself, which often implies internal network access or a badly exposed DB tier.
  • Cut again for configuration dependence: the leaked credentials only matter if the operator actually deployed with those same values and never rotated them. Secret reuse is common enough to keep this relevant, but it is not universal.
  • Keep it above LOW because valid DB creds bypass app auth entirely: when the chain does work, the attacker can land directly in the application database with potentially high confidentiality and integrity impact.

Why not higher?

There is no public evidence of active exploitation, no KEV listing, and no sign this product has a large internet-facing enterprise footprint. Most importantly, the exploit chain is usually broken by ordinary database hygiene: private DB networks, localhost binding, or credential rotation.

Why not lower?

This is still more than a harmless code smell because it can convert straight into live database access if defaults or embedded credentials were reused. For organizations running this product in flat networks or with internet-reachable MySQL, the impact is immediate and serious enough that a pure backlog-only rating would be too relaxed.

05 · Compensating Control

What to do — in priority order.

  1. Rotate the Open ISES database credentials — Treat the embedded values as publicly disclosed and untrusted. Issue a new per-install username/password pair, update the application configuration, and retire the old account; because this is a MEDIUM verdict there is no mitigation SLA, so do this in the next standard hardening cycle and complete it well before the remediation window closes.
  2. Constrain MySQL to localhost or a private allowlist — Bind the database service to 127.0.0.1 or restrict it to the exact app-tier source IPs/security groups so leaked credentials are unusable from arbitrary attacker infrastructure. There is no mitigation SLA — go straight to the 365-day remediation window, but this control is low-friction and worth pulling forward if the DB is currently broad-reachable.
  3. Disable or remove unused MDB import paths — If the MDB import workflow is not part of your operating model, remove the file, deny web access to it, or block the route at the web server. This reduces the chance that stale import code and related secrets remain on disk; for a MEDIUM verdict, apply during normal change management.
  4. Audit for historic secret reuse — Search deployment scripts, backups, config management, and image templates for the exposed username/password so you know whether the leaked values ever made it into production. Complete that audit during the same remediation program, because a patch without secret rotation leaves residual risk if the credentials were already copied elsewhere.
What doesn't work
  • A WAF does not solve this, because the core problem is credential disclosure plus database authentication, not an HTTP payload pattern.
  • MFA on the web app is irrelevant once an attacker talks directly to MySQL with valid credentials; the app login flow is bypassed.
  • Upgrading to 3.44.2 without rotating any reused DB secrets is incomplete if those credentials were ever deployed, because the old secret may still work after the code is patched.
06 · Verification

Crowdsourced verification payload.

Run this on the target Open ISES host or against an extracted application directory, not from an auditor workstation. Invoke it as sudo bash check_cve_2026_48242.sh /var/www/openises and give it read access to the app files; root is only needed if the web root is not otherwise readable.

noisgate-verify.sh
BASHREAD-ONLYSAFE
#!/usr/bin/env bash
# check_cve_2026_48242.sh
# Detect likely exposure to CVE-2026-48242 in Open ISES Tickets.
# Usage: bash check_cve_2026_48242.sh /path/to/openises
# Exit codes: 0=PATCHED, 1=VULNERABLE, 2=UNKNOWN

set -u

ROOT="${1:-}"
if [ -z "$ROOT" ]; then
  echo "UNKNOWN: missing application path argument"
  exit 2
fi

if [ ! -d "$ROOT" ]; then
  echo "UNKNOWN: path does not exist: $ROOT"
  exit 2
fi

version=""

# Try git tag first
if [ -d "$ROOT/.git" ] && command -v git >/dev/null 2>&1; then
  tag=$(git -C "$ROOT" describe --tags --exact-match 2>/dev/null || true)
  if [[ "$tag" =~ ^v?[0-9]+\.[0-9]+\.[0-9]+$ ]]; then
    version="${tag#v}"
  fi
fi

# Try common text files for a semantic version string
if [ -z "$version" ]; then
  while IFS= read -r f; do
    cand=$(grep -Eo '([0-9]+\.[0-9]+\.[0-9]+)' "$f" 2>/dev/null | head -n1 || true)
    if [ -n "$cand" ]; then
      version="$cand"
      break
    fi
  done < <(find "$ROOT" -maxdepth 2 -type f \( -iname 'RELEASE-NOTES*' -o -iname 'CHANGELOG*' -o -iname 'version*' -o -iname 'README*' \) 2>/dev/null)
fi

ver_lt() {
  # returns 0 if $1 < $2
  [ "$(printf '%s\n%s\n' "$1" "$2" | sort -V | head -n1)" != "$2" ]
}

# Heuristic secret checks in the vulnerable import path
suspect=0
for f in "$ROOT/import_mdb.php" "$ROOT/ticketsmdb_import.php" "$ROOT/db_loader.php"; do
  [ -f "$f" ] || continue

  # Hardcoded mysqli/mysql connection values in code
  if grep -Eqi "new[[:space:]]+mysqli[[:space:]]*\([[:space:]]*['\"][^'\"]+['\"][[:space:]]*,[[:space:]]*['\"][^'\"]+['\"][[:space:]]*,[[:space:]]*['\"][^'\"]+['\"][[:space:]]*,[[:space:]]*['\"][^'\"]+['\"]" "$f"; then
    suspect=1
  fi

  # Literal assignments to DB connection fields (best-effort heuristic)
  if grep -Eqi "\$(mdbhost|mdbdb|mdbuser|mdbpassword|ticketshost|ticketsdb|ticketsuser|ticketspassword)[[:space:]]*=[[:space:]]*['\"][^'\"]+['\"]" "$f"; then
    suspect=1
  fi

done

if [ -n "$version" ]; then
  if ver_lt "$version" "3.44.2"; then
    echo "VULNERABLE: detected Open ISES version $version (< 3.44.2)"
    exit 1
  fi
  if [ "$suspect" -eq 1 ]; then
    echo "UNKNOWN: version $version suggests patched, but import code still looks suspicious; verify manually"
    exit 2
  fi
  echo "PATCHED: detected Open ISES version $version (>= 3.44.2)"
  exit 0
fi

if [ "$suspect" -eq 1 ]; then
  echo "VULNERABLE: could not prove version, but import code contains likely hardcoded DB credentials"
  exit 1
fi

echo "UNKNOWN: no trustworthy version marker found and no obvious hardcoded credential pattern detected"
exit 2
07 · Bottom Line

If you remember one thing.

TL;DR
Monday morning, identify every Open ISES deployment and answer two questions first: is it older than 3.44.2, and did it ever use the embedded DB credentials? Because this is a MEDIUM reassessment, there is no noisgate mitigation SLA — go straight to the 365-day remediation window; however, if you discover unchanged leaked credentials or an exposed/reachable MySQL service, pull secret rotation and DB access restriction forward immediately as a local risk exception. For formal tracking, complete compensating controls during normal change management and finish the vendor upgrade to 3.44.2 or later within the noisgate remediation SLA of 365 days.

Sources

  1. Open ISES Tickets v3.44.2 release
  2. Open ISES fix commit reference
  3. Cyber Defence CVE mirror with structured CVE JSON
  4. Debian security tracker entry
  5. CISA Known Exploited Vulnerabilities catalog
  6. FIRST EPSS overview
  7. FIRST EPSS model documentation
  8. Open ISES project footprint on SourceForge
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.