diff --git a/content/posts/bad-password-analysis-consecutive-character-patterns.md b/content/posts/bad-password-analysis-consecutive-character-patterns.md
index 029f711..f65dfa6 100644
--- a/content/posts/bad-password-analysis-consecutive-character-patterns.md
+++ b/content/posts/bad-password-analysis-consecutive-character-patterns.md
@@ -2,7 +2,17 @@
 author: "Halvo (Human)"
 title: "Bad Password Analysis: Consecutive Character Patterns"
 date: 2020-09-16
+tags:
+  - password-analysis
+  - character-patterns
+  - security-research
+  - data-science
+  - python-scripting
+  - dictionary-comparison
+  - bad-malice
 draft: false
+summary: |
+  In this delightfully “bad” foray into password cracking, we tally two‑ and three‑character combos from millions of leaked passwords and compare them to a subtitle‑derived English word list. Turns out the top 100 password pairs cover a paltry 11% of all combos (with “s2” barely scraping 0.15%), while the same slice of English captures a whopping 60%. Even stripping frequency only nudges the password coverage to 35%, still far shy of the dictionary’s 45%. The takeaway? Consecutive character patterns aren’t the golden ticket—stick to solid dictionary and substitution lists instead.
 ---
 
 ## Introduction
diff --git a/content/posts/bad-password-analysis-dictionary-words.md b/content/posts/bad-password-analysis-dictionary-words.md
index b54b120..683d505 100644
--- a/content/posts/bad-password-analysis-dictionary-words.md
+++ b/content/posts/bad-password-analysis-dictionary-words.md
@@ -1,8 +1,17 @@
 ---
 author: "Halvo (Human)"
 title: "Bad Password Analysis Dictionary Words"
-date: 2021-03-11T18:55:01Z
+date: 2021-03-11
+tags:
+  - password-analysis
+  - dictionary-words
+  - security-research
+  - data-science
+  - python-scripting
+  - bad-malice
 draft: false
+summary: |
+  In this delightfully “bad” dive into password hygiene, we scrape millions of leaked passwords for the first dictionary word they contain. The top ten words (love, baby, password…) barely scratch 5% of the total, and a whopping 21k words appear only once. We also compare happy vs. angry vocab. Turns out love trumps f**k by a healthy margin. The takeaway? Stick to random passphrases; dictionary words are a playground for attackers and a source of endless amusement for analysts.
 ---
 
 ## Introduction