Digital › Module 6 › Lesson 3
EXIF Strings
EXIF metadata and strings literacy — file context from $DFIR_LAB images without planting or tampering artifacts.
Visual · t26_exif_strings
EXIF + strings = file context anchors. $DFIR_LAB only. Original Cyberlium.
Opening
A photo's EXIF and a binary's strings whisper context — read them from YOUR lab evidence, never plant metadata on someone else's device.
EXIF literacy: camera make/model, GPS (if present), DateTimeOriginal, software field — from images on $DFIR_LAB practice disks; treat GPS as sensitive PII, redact in share-safe exports. Strings literacy: ASCII/Unicode strings in binaries and documents — tool paths, URLs, error messages at category level using strings-class or forensic suite on authorized images only. Analyst documents tool, hash of source file, observed string or EXIF field — inferred attribution labeled separately. Cyberlium teaches reading context — NOT exiftool -GPS= inject on stranger files, NOT planting fake EXIF for 'better story,' NOT running strings on malware from unauthorized seizures without RoE. Pair with Module 4 filesystem cues and Module 2 metadata named. chmod 600 notes.
1. EXIF fields
DateTimeOriginal, Make, Model, Software, GPS — note timezone and clock trust issues.
EXIF can be stripped or forged — observed vs inferred mandatory.
Command guide
Try these commands — EXIF fields
═══ TOOLS & WEBSITES ═══ Browse / read these (authorized learning only — stay in YOUR lab / program scope)
ExifTool — https://exiftool.org/ (metadata extraction literacy) Autopsy — https://www.autopsy.com/ (EXIF in picture analyzer) SANS DFIR — https://www.sans.org/cyber-security-skills/digital-forensics/
═══ INSTALL ═══
Linux (Debian/Ubuntu):
Command — copy this
sudo apt install libimage-exiftool-perl
macOS:
Command — copy this
brew install exiftool
Windows:
Command — copy this
choco install exiftool
Use WSL or install file for Windows
═══ LINUX / macOS ═══
Command — copy this
export LAB_DFIR=${LAB_DFIR:-$HOME/cyberlium-lab/t26-dfir}create minimal JPEG bytes for metadata literacy — YOUR lab file
Command — copy this
printf '\xff\xd8\xff\xe0\x00\x10JFIF\x00\x01\x01\x00\x00\x01\x00\x01\x00\x00\xff\xd9' > "$LAB_DFIR/evidence/tiny-lab.jpg" file "$LAB_DFIR/evidence/tiny-lab.jpg" command -v exiftool >/dev/null && exiftool "$LAB_DFIR/evidence/tiny-lab.jpg" || strings "$LAB_DFIR/evidence/tiny-lab.jpg"
Primary tools to practice this lesson: exiftool, file. Reference sites: ExifTool (https://exiftool.org/); Autopsy (https://www.autopsy.com/); SANS DFIR (https://www.sans.org/cyber-security-skills/digital-forensics/). Run every command in the box — install first, then the usage lines — only on YOUR lab / program scope.
2. Strings workflow
Hash file first; run strings or suite viewer on $DFIR_LAB mount read-only.
Extract candidate paths/URLs as timeline rows — do not browse live URLs from unknown samples without isolated lab.
3. Integrity refuse
Never plant or alter EXIF/metadata on evidence — spoliation and ethics violation.
No analyzing roommate phone photos without consent and legal authority.
4. What you ship: EXIF/strings row template
Five EXIF fields + strings workflow + observed/inferred columns + no-plant line.
5. What you record before the next lesson
EXIF/strings row template path.
6. Wrong vs right: tampering evidence vs chain of custody
Worked failure — same MSF word, opposite target. Right never needs a café Wi-Fi or classmate laptop.
Wrong
Use exiftool to inject GPS into practice image and call it 'discovered location.'
Right
EXIF/strings template from $DFIR_LAB read-only analysis. Next: Net/Logs Lab.
Mission: EXIF/strings row template
1) List five EXIF fields. 2) Write strings workflow with hash-first step. 3) One lab row observed vs inferred. 4) Write NEVER plant metadata line.
Stuck? Ask Cyberlium AI Mentor
Ask Mentor: “Forged EXIF — how to note in report?”
Knowledge Check
APPLY: EXIF/strings analysis requires:
Multiple choice
Knowledge Check
APPLY: True or False: Planting metadata on evidence is acceptable lab.
True or False
Knowledge Check
APPLY: Strings output should:
Multiple choice