CVE-2026-48240: Open ISES Tickets · SQL Injection
Affects Open ISES TicketsSource CVE Database V5
Not known to be exploited · CVSS 7.1 High : upgrade to 3.44.2 soon.
Data as of 30 Oct 2026, 11:52 UTC
- EPSS
- 0.2% chance of exploitation in 30 days – higher than 12% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
- Patch
- Available – fixed in 3.44.2
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:L/VA:N/SC:N/SI:N/SA:NExploitation evidence
Disclosed: evidence found.
CVE published 21 May 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponized: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 30 Oct 2026.
What to do
Upgrade Tickets and openises/tickets to 3.44.2.
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| Open ISESTickets | Affected
| Fixed in
|
GitHubopenises/ticketspkg:github/openises/ticketsOther threats | Affected
| Fixed in
|
Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.
AI-suggested
If you cannot patch yet, restrict access to the affected ajax/statistics.php endpoint to trusted users only and monitor for suspicious activity related to POST parameters tick_id and f_tick_id. Avoid exposing this functionality to untrusted users.
Description
Open ISES Tickets before 3.44.2 contains a SQL injection vulnerability in ajax/statistics.php where the tick_id and f_tick_id POST parameters are concatenated into WHERE clauses of SELECT statements in the statistics rollup queries without sanitization. Authenticated attackers can craft requests that alter query semantics to read, modify, or destroy database contents.